All Stories

  1. Cluster-based XGBoost framework for short-term rainfall–runoff prediction under uncertainty in the Sieber watershed, Germany

    Article • Journal of Hydrology Regional Studies, April 2026, Elsevier

    Professor Ozgur Kisi

  2. Accurate and interpretable prediction of chemical oxygen demand using explainable boosting algorithms with SHAP analysis

    Article • Scientific Reports, February 2026, Springer Science + Business Media

    Professor Ozgur Kisi

  3. Discussion of “Comparison of the Self-Organizing Map and the Adaptive Neuro-Fuzzy Inference System in Predicting the Paddy Crop Water Stress Index”

    Article • Journal of Irrigation and Drainage Engineering, February 2026, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi

  4. Daily river water temperature prediction using regularized greedy forest enhanced TVF-EMD and empirical Fourier decomposition

    Article • Stochastic Hydrology and Hydraulics, January 2026, Springer Science + Business Media

    Professor Ozgur Kisi

  5. Interpretable Temperature‐Based Deep Learning for Evapotranspiration: SHAP ‐Based Feature Analysis in CNN ‐ GPU

    Article • Meteorological Applications, January 2026, Wiley

    Professor Ozgur Kisi

  6. Ranking and comparison of temperature-, mass transfer- and radiation based daily reference evapotranspiration models by using compromise programming index (CPI) and global performance indicator (GPI)

    Article • Theoretical and Applied Climatology, December 2025, Springer Science + Business Media

    Professor Ozgur Kisi

  7. Sustaining Grape Yield and Soil Health Under Saline–Sodic Irrigation Through Amendments and Canal Water Application

    Article • Water, September 2025, MDPI AG

    ALI Salem, Professor Ozgur Kisi

  8. Spatial-temporal variation of precipitation in Niedersachsen, Germany, using statistical and graphical trend methods considering climatic drivers

    Article • Hydrological Sciences Journal, July 2025, Taylor & Francis

    Professor Ozgur Kisi

  9. Novel Hybrid Approach for River Inflow Modeling: Case Study of the Indus River Basin, Pakistan

    Article • Journal of Hydrologic Engineering, June 2025, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi

  10. Improving the prediction of global solar radiation using interpretable boosting algorithms coupled SHAP and LIME analysis: a comparative study

    Article • Theoretical and Applied Climatology, May 2025, Springer Science + Business Media

    Professor Ozgur Kisi

  11. Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations

    Article • Stochastic Hydrology and Hydraulics, April 2025, Springer Science + Business Media

    Professor Ozgur Kisi

  12. Predicting water quality variables using gradient boosting machine: global versus local explainability using SHapley Additive Explanations (SHAP)

    Article • Earth Science Informatics, February 2025, Springer Science + Business Media

    Professor Ozgur Kisi

  13. Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds

    Article • Atmosphere, November 2024, MDPI AG

    Professor Ozgur Kisi

  14. Enhancing solar radiation prediction accuracy: A hybrid machine learning approach integrating response surface method and support vector regression

    Article • Ain Shams Engineering Journal, November 2024, Elsevier

    Professor Ozgur Kisi

  15. Enhancing the Prediction of Influent Total Nitrogen in Wastewater Treatment Plant Using Adaptive Neuro-Fuzzy Inference System–Gradient-Based Optimization Algorithm

    Article • Water, October 2024, MDPI AG

    Professor Ozgur Kisi

  16. Correction: The influence of collar parameters on local scour mechanism around the circular pier at the bend

    Article • Applied Water Science, September 2024, Springer Science + Business Media

    Professor Ozgur Kisi

  17. A new method for monthly streamflow prediction using multi-source data: range-dependent multivariate adaptive regression splines–genetic algorithm

    Article • Hydrological Sciences Journal, September 2024, Taylor & Francis

    Professor Ozgur Kisi

  18. A Comparative Study of Machine Learning Models for Daily and Weekly Rainfall Forecasting

    Article • Water Resources Management, September 2024, Springer Science + Business Media

    Professor Ozgur Kisi

  19. The influence of collar parameters on local scour mechanism around the circular pier at the bend

    Article • Applied Water Science, August 2024, Springer Science + Business Media

    Professor Ozgur Kisi

  20. Comparison Analysis of Seepage Through Homogenous Embankment Dams Using Physical, Mathematical and Numerical Models

    Article • Arabian Journal for Science and Engineering, June 2024, Springer Science + Business Media

    Professor Ozgur Kisi

  21. Sensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network

    Article • Applied Water Science, May 2024, Springer Science + Business Media

    PhD Alban Kuriqi, Professor Ozgur Kisi

  22. Utilizing Hybrid Machine Learning Techniques and Gridded Precipitation Data for Advanced Discharge Simulation in Under-Monitored River Basins

    Article • Hydrology, April 2024, MDPI AG

    Professor Ozgur Kisi

  23. An Investigation on Hydraulic Aspects of Rectangular Labyrinth Pool and Weir Fishway Using FLOW-3D

    Article • Arabian Journal for Science and Engineering, January 2024, Springer Science + Business Media

    Professor Ozgur Kisi

  24. Quantifying Landscape Pattern–Hydrological Process Linkage in Northwest Iran

    Article • Atmosphere, December 2023, MDPI AG

    Professor Ozgur Kisi

  25. Estimation of Reference Evapotranspiration in Semi-Arid Region with Limited Climatic Inputs Using Metaheuristic Regression Methods

    Article • Water, September 2023, MDPI AG

    Professor Ozgur Kisi

  26. Comparison of improved relevance vector machines for streamflow predictions

    Article • Journal of Forecasting, September 2023, Wiley

    Professor Ozgur Kisi

  27. Evaluating the effects of reservoir outflow and land-use change on the Zarrineh River basin

    Article • Hydrological Sciences Journal, September 2023, Taylor & Francis

    Professor Ozgur Kisi

  28. A New Insight for Daily Solar Radiation Prediction by Meteorological Data Using an Advanced Artificial Intelligence Algorithm: Deep Extreme Learning Machine Integrated with Variational Mode Decomposition Technique

    Article • Sustainability, July 2023, MDPI AG

    Professor Ozgur Kisi

  29. Modeling Significant Wave Heights for Multiple Time Horizons Using Metaheuristic Regression Methods

    Article • Mathematics, July 2023, MDPI AG

    Professor Shamsuddin Shahid , Professor Ozgur Kisi

  30. Investigating Landfill Leachate and Groundwater Quality Prediction Using a Robust Integrated Artificial Intelligence Model: Grey Wolf Metaheuristic Optimization Algorithm and Extreme Learning Machine

    Article • Water, July 2023, MDPI AG

    Professor Ozgur Kisi

  31. Improving Significant Wave Height Prediction Using a Neuro-Fuzzy Approach and Marine Predators Algorithm

    Article • Journal of Marine Science and Engineering, June 2023, MDPI AG

    Professor Shamsuddin Shahid , PhD Alban Kuriqi, Professor Ozgur Kisi

  32. Predicting and Optimizing the Influenced Parameters for Culvert Outlet Scouring Utilizing Coupled FLOW 3D-Surrogate Modeling

    Article • Iranian Journal of Science and Technology Transactions of Civil Engineering, April 2023, Springer Science + Business Media

    Professor Ozgur Kisi, Prof. Ata Amini

  33. Spatio-Temporal Analysis of Carbon Sequestration in Different Ecosystems of Iran and Its Relationship with Agricultural Droughts

    Article • Sustainability, April 2023, MDPI AG

    Professor Ozgur Kisi

  34. Application of novel binary optimized machine learning models for monthly streamflow prediction

    Article • Applied Water Science, April 2023, Springer Science + Business Media

    Professor Ozgur Kisi

  35. Prediction of Sediment Yields Using a Data-Driven Radial M5 Tree Model

    Article • Water, April 2023, MDPI AG

    Professor Ozgur Kisi

  36. Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence”

    Article • Journal of Hydrologic Engineering, April 2023, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi

  37. Predicting Discharge Coefficient of Triangular Side Orifice Using LSSVM Optimized by Gravity Search Algorithm

    Article • Water, March 2023, MDPI AG

    Professor Ozgur Kisi

  38. Water Quality Prediction of the Yamuna River in India Using Hybrid Neuro-Fuzzy Models

    Article • Water, March 2023, MDPI AG

    Professor Ozgur Kisi, Professor Shamsuddin Shahid

  39. Groundwater level modeling using Augmented Artificial Ecosystem Optimization

    Article • Journal of Hydrology, February 2023, Elsevier

    Professor Ozgur Kisi, Thieu Nguyen

  40. Optimization design of quality monitoring network of Urmia plain using genetic algorithm and vulnerability map

    Article • Geocarto International, January 2023, Taylor & Francis

    Professor Ozgur Kisi

  41. Modeling Potential Evapotranspiration by Improved Machine Learning Methods Using Limited Climatic Data

    Article • Water, January 2023, MDPI AG

    PhD Alban Kuriqi, Professor Ozgur Kisi

  42. Water Temperature Prediction Using Improved Deep Learning Methods through Reptile Search Algorithm and Weighted Mean of Vectors Optimizer

    Article • Journal of Marine Science and Engineering, January 2023, MDPI AG

    Professor Ozgur Kisi

  43. Random Forest Ensemble-Based Predictions of On-Road Vehicular Emissions and Fuel Consumption in Developing Urban Areas

    Article • Sustainability, January 2023, MDPI AG

    Professor Ozgur Kisi

  44. Predicting nitrate concentration in river using advanced artificial intelligence techniques

    Article • January 2023, Elsevier

    Professor Ozgur Kisi

  45. Advanced Hybrid Metaheuristic Machine Learning Models Application for Reference Crop Evapotranspiration Prediction

    Article • Agronomy, December 2022, MDPI AG

    PhD Alban Kuriqi, Professor Ozgur Kisi

  46. Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data

    Article • Geocarto International, December 2022, Taylor & Francis

    Professor Ozgur Kisi

  47. Prediction of the Discharge Coefficient in Compound Broad-Crested-Weir Gate by Supervised Data Mining Techniques

    Article • Sustainability, December 2022, MDPI AG

    Professor Ozgur Kisi, Professor Shamsuddin Shahid

  48. The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction

    Article • Applied Soft Computing, December 2022, Elsevier

    Professor Ozgur Kisi

  49. Monthly streamflow prediction using hybrid extreme learning machine optimized by Bat algorithm: a case study of Cheliff watershed, Algeria

    Article • Hydrological Sciences Journal, November 2022, Taylor & Francis

    Professor Ozgur Kisi

  50. Approximation of the Discharge Coefficient of Radial Gates Using Metaheuristic Regression Approaches

    Article • Sustainability, November 2022, MDPI AG

    Professor Ozgur Kisi

  51. Monthly Streamflow Prediction by Metaheuristic Regression Approaches Considering Satellite Precipitation Data

    Article • Water, November 2022, MDPI AG

    Professor Ozgur Kisi, Dr Sujay Raghavendra Naganna

  52. Hybridized Adaptive Neuro-Fuzzy Inference System with Metaheuristic Algorithms for Modeling Monthly Pan Evaporation

    Article • Water, November 2022, MDPI AG

    Professor Ozgur Kisi

  53. Application of improved version of multi verse optimizer algorithm for modeling solar radiation

    Article • Energy Reports, November 2022, Elsevier

    Professor Ozgur Kisi

  54. Covariance Matrix Adaptation Evolution Strategy for Improving Machine Learning Approaches in Streamflow Prediction

    Article • Mathematics, August 2022, MDPI AG

    Professor Ozgur Kisi, Professor Shamsuddin Shahid

  55. Improving accuracy of neuro fuzzy and support vector regression for drought modelling using grey wolf optimization

    Article • Hydrological Sciences Journal, July 2022, Taylor & Francis

    Professor Ozgur Kisi

  56. The Effect of Dust Storm on Sea Surface Temperature in the Western Basin of Persian Gulf

    Article • Standards, June 2022, MDPI AG

    Professor Ozgur Kisi

  57. Drought forecasting using the Prophet model in a semi-arid climate region of western India

    Article • Hydrological Sciences Journal, May 2022, Taylor & Francis

    Professor Ozgur Kisi

  58. Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling

    Article • Environmental Science and Pollution Research, May 2022, Springer Science + Business Media

    Professor Ozgur Kisi

  59. Predicting Daily Streamflow in a Cold Climate Using a Novel Data Mining Technique: Radial M5 Model Tree

    Article • Water, May 2022, MDPI AG

    Professor Ozgur Kisi

  60. Spatio-Temporal Analysis of Rainfall Dynamics of 120 Years (1901–2020) Using Innovative Trend Methodology: A Case Study of Haryana, India

    Article • Sustainability, April 2022, MDPI AG

    Professor Ozgur Kisi

  61. Comparative evaluation of deep learning and machine learning in modelling pan evaporation using limited inputs

    Article • Hydrological Sciences Journal, April 2022, Taylor & Francis

    Professor Ozgur Kisi, PhD Alban Kuriqi, Dr Sujay Raghavendra Naganna

  62. Modeling Multistep Ahead Dissolved Oxygen Concentration Using Improved Support Vector Machines by a Hybrid Metaheuristic Algorithm

    Article • Sustainability, March 2022, MDPI AG

    Professor Ozgur Kisi

  63. Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia

    Article • Engineering Applications of Computational Fluid Mechanics, February 2022, Taylor & Francis

    Professor Ozgur Kisi, Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr

  64. The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction

    Article • Hydrological Sciences Journal, January 2022, Taylor & Francis

    Professor Ozgur Kisi, Dr Ahmed Elshafie

  65. Bidirectional long short-term memory-based empirical wavelet transform: A new hybrid artificial intelligence model for robust prediction of soil moisture content

    Article • January 2022, Elsevier

    Professor Ozgur Kisi

  66. Random vector functional link network based on variational mode decomposition for predicting river water turbidity

    Article • January 2022, Elsevier

    Professor Ozgur Kisi

  67. Improving Drought Modeling Using Hybrid Random Vector Functional Link Methods

    Article • Water, December 2021, MDPI AG

    PhD Alban Kuriqi, Professor Ozgur Kisi

  68. Modeling Multi-Objective Pareto-Optimal Reservoir Operation Policies using State-of-the-art Modeling Techniques

    Article • October 2021, Wiley

    Professor Ozgur Kisi

  69. Development of new machine learning model for streamflow prediction: case studies in Pakistan

    Article • Stochastic Hydrology and Hydraulics, October 2021, Springer Science + Business Media

    Professor Ozgur Kisi

  70. Predicting Water Availability in Water Bodies under the Influence of Precipitation and Water Management Actions Using VAR/VECM/LSTM

    Article • Climate, September 2021, MDPI AG

    Professor Ozgur Kisi

  71. Towards a Comprehensive Assessment of Statistical versus Soft Computing Models in Hydrology: Application to Monthly Pan Evaporation Prediction

    Article • Water, September 2021, MDPI AG

    Professor Ozgur Kisi

  72. Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management

    Article • Sustainability, August 2021, MDPI AG

    Professor Ozgur Kisi

  73. Advanced machine learning models development for suspended sediment prediction: comparative analysis study

    Article • Geocarto International, June 2021, Taylor & Francis

    Professor Ozgur Kisi

  74. Novel Ensemble Forecasting of Streamflow Using Locally Weighted Learning Algorithm

    Article • Sustainability, May 2021, MDPI AG

    Professor Ozgur Kisi

  75. Suspended Sediment Modeling Using a Heuristic Regression Method Hybridized with Kmeans Clustering

    Article • Sustainability, April 2021, MDPI AG

    Professor Shamsuddin Shahid , Professor Ozgur Kisi

  76. Approaches for Optimizing the Performance of Adaptive Neuro-Fuzzy Inference System and Least-Squares Support Vector Machine in Precipitation Modeling

    Article • Journal of Hydrologic Engineering, April 2021, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi

  77. Groundwater-Potential Mapping Using a Self-Learning Bayesian Network Model: A Comparison among Metaheuristic Algorithms

    Article • Water, February 2021, MDPI AG

    Professor Ozgur Kisi

  78. Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach

    Article • Natural Hazards, January 2021, Springer Science + Business Media

    Professor Ozgur Kisi

  79. Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions

    Article • Engineering Applications of Computational Fluid Mechanics, January 2021, Taylor & Francis

    Professor Ozgur Kisi

  80. Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques

    Article • Engineering Applications of Computational Fluid Mechanics, January 2021, Taylor & Francis

    Professor Ozgur Kisi, Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr

  81. Prediction of Potential Evapotranspiration Using Temperature-Based Heuristic Approaches

    Article • Sustainability, December 2020, MDPI AG

    Professor Ozgur Kisi, Professor Shamsuddin Shahid

  82. A Theoretical Approach for Forecasting Different Types of Drought Simultaneously, Using Entropy Theory and Machine-Learning Methods

    Article • ISPRS International Journal of Geo-Information, November 2020, MDPI AG

    Professor Ozgur Kisi

  83. Bayesian Model Averaging: A Unique Model Enhancing Forecasting Accuracy for Daily Streamflow Based on Different Antecedent Time Series

    Article • Sustainability, November 2020, MDPI AG

    Professor Ozgur Kisi

  84. Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction

    Article • Water Resources Management, October 2020, Springer Science + Business Media

    Professor Ozgur Kisi

  85. Using the MODIS Sensor for Snow Cover Modeling and the Assessment of Drought Effects on Snow Cover in a Mountainous Area

    Article • Remote Sensing, October 2020, MDPI AG

    Professor Ozgur Kisi

  86. Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization

    Article • Journal of Hydrology, October 2020, Elsevier

    Professor Ozgur Kisi, Dr Ahmed Elshafie

  87. Energy Loss in Skimming Flow over Cascade Spillways: Comparison of Artificial Intelligence-Based and Regression Methods

    Article • Applied Sciences, October 2020, MDPI AG

    Professor Ozgur Kisi

  88. Development of an indirect method for modelling the water footprint of electricity using wavelet transform coupled with the random forest model

    Article • Hydrological Sciences Journal, September 2020, Taylor & Francis

    Professor Ozgur Kisi

  89. Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data

    Article • Neural Computing and Applications, July 2020, Springer Science + Business Media

    Professor Ozgur Kisi

  90. Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method

    Article • Hydrological Sciences Journal, July 2020, Taylor & Francis

    Professor Ozgur Kisi

  91. A minimalistic approach for evapotranspiration estimation using the Prophet model

    Article • Hydrological Sciences Journal, June 2020, Taylor & Francis

    Professor Ozgur Kisi

  92. Comments on “Predicting permeability changes with injecting CO2 in coal seams during CO2 geological sequestration: A comparative study among six SVM-based hybrid models” Science of the Total Environment, 705, 135941 (2020)

    Article • The Science of The Total Environment, June 2020, Elsevier

    Professor Ozgur Kisi

  93. Pan Evaporation Estimation in Uttarakhand and Uttar Pradesh States, India: Validity of an Integrative Data Intelligence Model

    Article • Atmosphere, May 2020, MDPI AG

    Professor Ozgur Kisi

  94. Improved Water Quality Prediction with Hybrid Wavelet-Genetic Programming Model and Shannon Entropy

    Article • Natural Resources Research, May 2020, Springer Science + Business Media

    Professor Ozgur Kisi

  95. Reference Evapotranspiration Modeling Using New Heuristic Methods

    Article • Entropy, May 2020, MDPI AG

    PhD Alban Kuriqi, Professor Ozgur Kisi, Dr Ahmed Elshafie

  96. Human–Environment Natural Disasters Interconnection in China: A Review

    Article • Climate, March 2020, MDPI AG

    PhD Alban Kuriqi, Professor Ozgur Kisi

  97. Estimating Soil Available Phosphorus Content through Coupled Wavelet–Data-Driven Models

    Article • Sustainability, March 2020, MDPI AG

    Professor Ozgur Kisi

  98. Combined Use of Graphical and Statistical Approaches for Analyzing Historical Precipitation Changes in the Black Sea Region of Turkey

    Article • Water, March 2020, MDPI AG

    Professor Ozgur Kisi, Charles Onyutha

  99. Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm

    Article • Journal of Hydrology, March 2020, Elsevier

    Professor Ozgur Kisi, Dr Ahmed Elshafie

  100. Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes

    Article • Computers and Electronics in Agriculture, March 2020, Elsevier

    Professor Ozgur Kisi

  101. Investigation into the Effects of Climate Change on Reference Evapotranspiration Using the HadCM3 and LARS-WG

    Article • Water, March 2020, MDPI AG

    Professor Ozgur Kisi

  102. On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction

    Article • Agricultural and Forest Meteorology, November 2019, Elsevier

    Professor Ozgur Kisi

  103. Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

    Article • Journal of Hydrology, November 2019, Elsevier

    Professor Ozgur Kisi

  104. Prediction of Suspended Sediment Load Using Data-Driven Models

    Article • Water, October 2019, MDPI AG

    Dr Ahmed Elshafie, Professor Ozgur Kisi

  105. Daily streamflow prediction using optimally pruned extreme learning machine

    Article • Journal of Hydrology, October 2019, Elsevier

    Professor Ozgur Kisi

  106. Comprehensive assessment of 12 soft computing approaches for modeling reference evapotranspiration in humid locations

    Article • Meteorological Applications, September 2019, Wiley

    Professor Ozgur Kisi

  107. Drought forecasting using novel heuristic methods in a semi-arid environment

    Article • Journal of Hydrology, August 2019, Elsevier

    Professor Ozgur Kisi

  108. Novel approaches for air temperature prediction: Comparison of four hybrid evolutionary fuzzy models

    Article • Meteorological Applications, June 2019, Wiley

    Professor Ozgur Kisi

  109. The Implementation of a Hybrid Model for Hilly Sub-Watershed Prioritization Using Morphometric Variables: Case Study in India

    Article • Water, May 2019, MDPI AG

    Professor Ozgur Kisi

  110. Long-term modeling of wind speeds using six different heuristic artificial intelligence approaches

    Article • International Journal of Climatology, February 2019, Wiley

    Professor Ozgur Kisi

  111. Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

    Article • Agricultural and Forest Meteorology, December 2018, Elsevier

    Professor Ozgur Kisi

  112. A new wavelet conjunction approach for estimation of relative humidity: wavelet principal component analysis combined with ANN

    Article • Neural Computing and Applications, November 2018, Springer Science + Business Media

    Professor Ozgur Kisi

  113. Quantifying Hourly Suspended Sediment Load Using Data Mining Models: Case Study of a Glacierized Andean Catchment in Chile

    Article • Journal of Hydrology, October 2018, Elsevier

    Professor Ozgur Kisi, Professor Shamsuddin Shahid

  114. Simulation of suspended sediment based on gamma test, heuristic, and regression-based techniques

    Article • Environmental Earth Sciences, October 2018, Springer Science + Business Media

    Professor Ozgur Kisi

  115. Stable alluvial channel design using evolutionary neural networks

    Article • Journal of Hydrology, September 2018, Elsevier

    Professor Ozgur Kisi, Professor Bahram Gharabaghi

  116. Stream Flow Forecasting of Poorly Gauged Mountainous Watershed by Least Square Support Vector Machine, Fuzzy Genetic Algorithm and M5 Model Tree Using Climatic Data from Nearby Station

    Article • Water Resources Management, August 2018, Springer Science + Business Media

    Professor Ozgur Kisi

  117. Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm

    Article • Water, August 2018, MDPI AG

    Professor Ozgur Kisi, Dr Ahmed Elshafie

  118. Evaluation of the support vector machine, random forest and geo-statistical methodologies for predicting long-term air temperature

    Article • ISH Journal of Hydraulic Engineering, July 2018, Taylor & Francis

    Professor Ozgur Kisi

  119. Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree

    Article • Renewable and Sustainable Energy Reviews, January 2018, Elsevier

    Professor Ozgur Kisi, Dr Behrooz Keshtegar

  120. Modified Response-Surface Method: New Approach for Modeling Pan Evaporation

    Article • Journal of Hydrologic Engineering, October 2017, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Behrooz Keshtegar

  121. Pre-processing data to predict groundwater levels using the fuzzy standardized evapotranspiration and precipitation index (SEPI)

    Article • Water Resources Management, August 2017, Springer Science + Business Media

    Professor Ozgur Kisi

  122. M5 model tree and Monte Carlo simulation for efficient structural reliability analysis

    Article • Applied Mathematical Modelling, August 2017, Elsevier

    Professor Ozgur Kisi, Dr Behrooz Keshtegar

  123. Pan evaporation modeling using four different heuristic approaches

    Article • Computers and Electronics in Agriculture, August 2017, Elsevier

    Professor Ozgur Kisi

  124. Impurity effect on clear water evaporation: toward modelling wastewater evaporation using ANN, ANFIS-SC and GEP techniques

    Article • Hydrological Sciences Journal, July 2017, Taylor & Francis

    Professor Ozgur Kisi, Prof. Osman Abdalla

  125. Daily Mean Streamflow Prediction in Perennial and Non-Perennial Rivers Using Four Data Driven Techniques

    Article • Water Resources Management, July 2017, Springer Science + Business Media

    Professor Ozgur Kisi

  126. Prediction of Ultimate Strain and Strength of FRP-Confined Concrete Cylinders Using Soft Computing Methods

    Article • Applied Sciences, July 2017, MDPI AG

    Professor Ozgur Kisi

  127. Discussion of “Prediction of Discharge Capacity over Two-Cycle Labyrinth Side Weir Using ANFIS” by M. Cihan Aydin and Korhan Kayisli

    Article • Journal of Irrigation and Drainage Engineering, July 2017, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi

  128. Prediction of diffuse photosynthetically active radiation using different soft computing techniques

    Article • Quarterly Journal of the Royal Meteorological Society, July 2017, Wiley

    Professor Ozgur Kisi

  129. Modeling soil bulk density through a complete data scanning procedure: Heuristic alternatives

    Article • Journal of Hydrology, June 2017, Elsevier

    Professor Ozgur Kisi

  130. Wavelet-linear genetic programming: A new approach for modeling monthly streamflow

    Article • Journal of Hydrology, June 2017, Elsevier

    Professor Ozgur Kisi

  131. Extreme learning machines: a new approach for modeling dissolved oxygen (DO) concentration with and without water quality variables as predictors

    Article • Environmental Science and Pollution Research, May 2017, Springer Science + Business Media

    Professor Ozgur Kisi

  132. A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping

    Article • Journal of Hydrology, May 2017, Elsevier

    Professor Ozgur Kisi

  133. A new approach for simulating and forecasting the rainfall-runoff process within the next two months

    Article • Journal of Hydrology, May 2017, Elsevier

    Professor Ozgur Kisi

  134. Modeling of air pollutants using least square support vector regression, multivariate adaptive regression spline, and M5 model tree models

    Article • Air Quality Atmosphere & Health, April 2017, Springer Science + Business Media

    Professor Ozgur Kisi

  135. Fast convergence optimization model for single and multi-purposes reservoirs using hybrid algorithm

    Article • Advanced Engineering Informatics, April 2017, Elsevier

    Professor Ozgur Kisi, Dr Ahmed Elshafie

  136. Modeling soil cation exchange capacity using soil parameters: Assessing the heuristic models

    Article • Computers and Electronics in Agriculture, April 2017, Elsevier

    Professor Ozgur Kisi

  137. Spatial monitoring and zoning water quality of Sistan River in the wet and dry years using GIS and geostatistics

    Article • Computers and Electronics in Agriculture, April 2017, Elsevier

    Professor Ozgur Kisi

  138. Groundwater quality ranking for drinking purposes, using the entropy method and the spatial autocorrelation index

    Article • Environmental Earth Sciences, March 2017, Springer Science + Business Media

    Professor Ozgur Kisi

  139. Evaporation modelling using different machine learning techniques

    Article • International Journal of Climatology, March 2017, Wiley

    Professor Ozgur Kisi, Dr. Muhammad Bilal

  140. Impact of climate change on runoff in Lake Urmia basin, Iran

    Article • Theoretical and Applied Climatology, March 2017, Springer Science + Business Media

    Professor Ozgur Kisi

  141. Modeling groundwater fluctuations by three different evolutionary neural network techniques using hydroclimatic data

    Article • Natural Hazards, February 2017, Springer Science + Business Media

    Professor Ozgur Kisi

  142. Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model

    Article • Atmospheric Research, February 2017, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi

  143. Pan evaporation modeling using six different heuristic computing methods in different climates of China

    Article • Journal of Hydrology, January 2017, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi

  144. Improving Accuracy of River Flow Forecasting Using LSSVR with Gravitational Search Algorithm

    Article • Advances in Meteorology, January 2017, Hindawi Publishing Corporation

    Professor Ozgur Kisi

  145. Erratum to: A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression

    Article • Water Resources Management, January 2017, Springer Science + Business Media

    Professor Ozgur Kisi

  146. Joint modelling of annual maximum drought severity and corresponding duration

    Article • Journal of Hydrology, December 2016, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi

  147. Applicability of Several Soft Computing Approaches in Modeling Oxygen Transfer Efficiency at Baffled Chutes

    Article • Journal of Irrigation and Drainage Engineering, November 2016, American Society of Civil Engineers (ASCE)

    Dr Ozgur Kisi, Professor Ozgur Kisi

  148. Discussion of “Estimation of Furrow Irrigation Sediment Loss Using an Artificial Neural Network” by Bradley A. King, David L. Bjorneberg, Thomas J. Trout, Luciano Mateos, Danielle F. Araujo, and Raimundo N. Costa

    Article • Journal of Irrigation and Drainage Engineering, November 2016, American Society of Civil Engineers (ASCE)

    Dr Ozgur Kisi, Professor Ozgur Kisi

  149. Strength prediction of rotary brace damper using MLR and MARS

    Article • STRUCTURAL ENGINEERING AND MECHANICS, November 2016, Techno-Press

    Professor Ozgur Kisi

  150. Novel Predictive Model of the Debonding Strength for Masonry Members Retrofitted with FRP

    Article • Applied Sciences, November 2016, MDPI AG

    Professor Ozgur Kisi, Dr Ozgur Kisi

  151. Modelling daily reference evapotranspiration in humid locations of South Korea using local and cross-station data management scenarios

    Article • International Journal of Climatology, November 2016, Wiley

    Dr Ozgur Kisi, Professor Ozgur Kisi

  152. Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

    Article • Journal of Hydrology, November 2016, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi, Dr Ahmed Elshafie

  153. Trend Analysis of Maximum Hydrologic Drought Variables Using Mann-Kendall and Şen's Innovative Trend Method

    Article • River Research and Applications, October 2016, Wiley

    Professor Ozgur Kisi

  154. A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression

    Article • Water Resources Management, October 2016, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  155. Estimation of dissolved oxygen by using neural networks and neuro fuzzy computing techniques

    Article • KSCE Journal of Civil Engineering, September 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  156. Prediction of Water-Level in the Urmia Lake Using the Extreme Learning Machine Approach

    Article • Water Resources Management, September 2016, Springer Science + Business Media

    Dr Shahaboddin Shamshirband, Dr Ozgur Kisi, Professor Ozgur Kisi, Dr S shamshirband

  157. A nonlinear mathematical modeling of daily pan evaporation based on conjugate gradient method

    Article • Computers and Electronics in Agriculture, September 2016, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi, Dr Behrooz Keshtegar

  158. Evaluating the generalizability of GEP models for estimating reference evapotranspiration in distant humid and arid locations

    Article • Theoretical and Applied Climatology, August 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  159. Discussion of “Monthly Mean Streamflow Prediction Based on Bat Algorithm-Support Vector Machine” by Bing Xing, Rong Gan, Guodong Liu, Zhongfang Liu, Jing Zhang, and Yufeng Ren

    Article • Journal of Hydrologic Engineering, August 2016, American Society of Civil Engineers (ASCE)

    Dr Ozgur Kisi, Professor Ozgur Kisi

  160. Solar radiation prediction using different techniques: model evaluation and comparison

    Article • Renewable and Sustainable Energy Reviews, August 2016, Elsevier

    Professor Ozgur Kisi

  161. Evaluation of peak and residual conditions of actively confined concrete using neuro-fuzzy and neural computing techniques

    Article • Neural Computing and Applications, July 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  162. Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

    Article • Water Resources Management, July 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  163. Reply to the comments on “Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey” by Kisi, O. and Ay, M. [J. Hydrol. 513 (2014) 362–375] and “An innovative method for trend analysis of monthl...

    Article • Journal of Hydrology, July 2016, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi

  164. Water temperature prediction in a subtropical subalpine lake using soft computing techniques

    Article • Earth Sciences Research Journal, July 2016, Universidad Nacional de Colombia

    Dr Ozgur Kisi, Professor Ozgur Kisi

  165. River Stage Forecasting Using Wavelet Packet Decomposition and Machine Learning Models

    Article • Water Resources Management, June 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  166. Suspended Sediment Modeling Using Neuro-Fuzzy Embedded Fuzzy c-Means Clustering Technique

    Article • Water Resources Management, June 2016, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  167. A nonlinear modelling-based high-order response surface method for predicting monthly pan evaporations

    Article • Hydrology and Earth System Sciences Discussions, June 2016, Copernicus GmbH

    Professor Ozgur Kisi, Dr Ozgur Kisi, Dr Behrooz Keshtegar

  168. A new approach for modeling suspended sediment: Evolutionary fuzzy approach

    Article • Hydrology and Earth System Sciences Discussions, May 2016, Copernicus GmbH

    Professor Ozgur Kisi, Dr Ozgur Kisi

  169. Modifying Hargreaves–Samani equation with meteorological variables for estimation of reference evapotranspiration in Turkey

    Article • Hydrology Research, May 2016, IWA Publishing

    Professor Ozgur Kisi

  170. Comparison of six different soft computing methods in modeling evaporation in different climates

    Article • Hydrology and Earth System Sciences Discussions, May 2016, Copernicus GmbH

    Professor Ozgur Kisi, Dr Ozgur Kisi

  171. Prediction of solar radiation in China using different adaptive neuro-fuzzy methods and M5 model tree

    Article • International Journal of Climatology, May 2016, Wiley

    Professor Ozgur Kisi

  172. Groundwater budget forecasting, using hybrid wavelet-ANN-GP modelling: a case study of Azarshahr Plain, East Azerbaijan, Iran

    Article • Hydrology Research, May 2016, IWA Publishing

    Professor Ozgur Kisi

  173. Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques

    Article • Theoretical and Applied Climatology, May 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  174. Modeling reference evapotranspiration using three different heuristic regression approaches

    Article • Agricultural Water Management, May 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  175. Predicting river daily flow using wavelet-artificial neural networks based on regression analyses in comparison with artificial neural networks and support vector machine models

    Article • Neural Computing and Applications, April 2016, Springer Science + Business Media

    Dr Ozgur Kisi, Professor Ozgur Kisi

  176. Evaluation of data driven models for river suspended sediment concentration modeling

    Article • Journal of Hydrology, April 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  177. Modeling and comparison of hourly photosynthetically active radiation in different ecosystems

    Article • Renewable and Sustainable Energy Reviews, April 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  178. Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for forecasting precipitation based on large-scale climate signals

    Article • Hydrological Sciences Journal, March 2016, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  179. Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

    Article • Journal of Hydrology, March 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  180. Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree

    Article • Computers and Electronics in Agriculture, March 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  181. Assessment of rainfall aggregation and disaggregation using data-driven models and wavelet decomposition

    Article • Hydrology Research, March 2016, IWA Publishing

    Professor Ozgur Kisi

  182. Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques

    Article • Matériaux et Constructions, January 2016, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  183. Flood Hazard Mapping by Using Geographic Information System and Hydraulic Model: Mert River, Samsun, Turkey

    Article • Advances in Meteorology, January 2016, Hindawi Publishing Corporation

    Professor Ozgur Kisi, Dr Ozgur Kisi

  184. Hydrological Hazards in a Changing Environment: Early Warning, Forecasting, and Impact Assessment

    Article • Advances in Meteorology, January 2016, Hindawi Publishing Corporation

    Professor Ozgur Kisi, Dr Shahaboddin Shamshirband, Dr Ozgur Kisi, Dr S shamshirband

  185. Modeling shear stress distribution in natural small streams by soft computing methods

    Article • Geofizika, January 2016, Department of Geophysics, Faculty of Science, University of Zagreb

    Professor Ozgur Kisi

  186. Damage detection in structural beam elements using hybrid neuro fuzzy systems

    Article • Smart Structures and Systems, December 2015, Techno-Press

    Dr Ozgur Kisi, Professor Ozgur Kisi

  187. A Wavelet and Neuro-fuzzy Conjunction Model to Forecast Air Temperature Variations at Coastal Sites

    Article • The International Journal of Ocean and Climate Systems, December 2015, SAGE Publications

    Professor Ozgur Kisi, Dr Ozgur Kisi

  188. Short-term and long-term streamflow prediction by using 'wavelet–gene expression' programming approach

    Article • ISH Journal of Hydraulic Engineering, November 2015, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  189. A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm

    Article • Applied Mathematics and Computation, November 2015, Elsevier

    Professor Ozgur Kisi, Dr Shahaboddin Shamshirband, Dr Ozgur Kisi, Dr S shamshirband

  190. Corrigendum to “An innovative method for trend analysis of monthly pan evaporations” [J. Hydrol. 527 (2015) 1123–1129]

    Article • Journal of Hydrology, October 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  191. Lake Level Forecasting Using Wavelet-SVR, Wavelet-ANFIS and Wavelet-ARMA Conjunction Models

    Article • Water Resources Management, September 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  192. Discussion of “Comparison of Wavelet-Based ANN and Regression Models for Reservoir Inflow Forecasting” by Krishna Budu

    Article • Journal of Hydrologic Engineering, September 2015, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  193. Discussion of “Evapotranspiration Modeling Using Second-Order Neural Networks” by Sirisha Adamala, N. S. Raghuwanshi, Ashok Mishra, and Mukesh K. Tiwari

    Article • Journal of Hydrologic Engineering, September 2015, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  194. Applicability of a Fuzzy Genetic System for Crack Diagnosis in Timoshenko Beams

    Article • Journal of Computing in Civil Engineering, September 2015, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  195. Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree

    Article • Journal of Hydrology, September 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  196. Independent testing for assessing the calibration of the Hargreaves–Samani equation: New heuristic alternatives for Iran

    Article • Computers and Electronics in Agriculture, September 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  197. Discussion of “Improved Particle Swarm Optimization–Based Artificial Neural Network for Rainfall-Runoff Modeling” by Mohsen Asadnia, Lloyd H. C. Chua, X. S. Qin, and Amin Talei

    Article • Journal of Hydrologic Engineering, September 2015, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  198. Streamflow Forecasting and Estimation Using Least Square Support Vector Regression and Adaptive Neuro-Fuzzy Embedded Fuzzy c-means Clustering

    Article • Water Resources Management, August 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  199. An investigation on generalization ability of artificial neural networks and M5 model tree in modeling reference evapotranspiration

    Article • Theoretical and Applied Climatology, August 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  200. Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

    Article • Journal of Hydrology, August 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  201. An innovative method for trend analysis of monthly pan evaporations

    Article • Journal of Hydrology, August 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  202. Discussion of “Runoff Estimation by Machine Learning Methods and Application to the Euphrates Basin in Turkey” by Abdullah Gokhan Yilmaz and Nitin Muttil

    Article • Journal of Hydrologic Engineering, July 2015, American Society of Civil Engineers (ASCE)

    Dr Nitin Muttil, Professor Ozgur Kisi, Dr Ozgur Kisi

  203. Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data

    Article • Computers and Electronics in Agriculture, July 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  204. Predicting daily pan evaporation by soft computing models with limited climatic data

    Article • Hydrological Sciences Journal, June 2015, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  205. Plunging Flow Depth Estimation in a Stratified Dam Reservoir Using Neuro-Fuzzy Technique

    Article • Water Resources Management, May 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  206. Damage diagnosis in beam-like structures by artificial neural networks

    Article • Journal of Civil Engineering and Management, May 2015, Vilnius Gediminas Technical University

    Professor Ozgur Kisi, Dr Ozgur Kisi

  207. Time series analysis on marine wind-wave characteristics using chaos theory

    Article • Ocean Engineering, May 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  208. Closure to “Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate” by Ozgur Kisi

    Article • Journal of Irrigation and Drainage Engineering, April 2015, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  209. Discussion of “Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate” by Ozgur Kisi

    Article • Journal of Irrigation and Drainage Engineering, April 2015, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi

  210. Prediction of debonding strength for masonry elements retrofitted with FRP composites using neuro fuzzy and neural network approaches

    Article • Composites Part B Engineering, March 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  211. Prediction of long-term monthly precipitation using several soft computing methods without climatic data

    Article • International Journal of Climatology, February 2015, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  212. Importance of hybrid models for forecasting of hydrological variable

    Article • Neural Computing and Applications, February 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  213. Modelling solar radiation reached to the Earth using ANFIS, NN-ARX, and empirical models (Case studies: Zahedan and Bojnurd stations)

    Article • Journal of Atmospheric and Solar-Terrestrial Physics, February 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  214. RETRACTED ARTICLE: Evaluating groundwater level fluctuation by support vector regression and neuro-fuzzy methods: a comparative study

    Article • Natural Hazards, January 2015, Springer Science + Business Media

    Dr S shamshirband, Professor Ozgur Kisi, Dr Shahaboddin Shamshirband, Dr Ozgur Kisi

  215. Modelling long-term monthly temperatures by several data-driven methods using geographical inputs

    Article • International Journal of Climatology, January 2015, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  216. Comparison of Different Data-Driven Approaches for Modeling Lake Level Fluctuations: The Case of Manyas and Tuz Lakes (Turkey)

    Article • Water Resources Management, January 2015, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  217. Daily water level forecasting using wavelet decomposition and artificial intelligence techniques

    Article • Journal of Hydrology, January 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  218. Prediction of Millers Ferry Dam Reservoir Level in USA Using Artificial Neural Network

    Article • Periodica Polytechnica Civil Engineering, January 2015, Periodica Polytechnica Budapest University of Technology and Economics

    Professor Ozgur Kisi, Dr Ozgur Kisi

  219. Forecasting Sea Water Levels at Mukho Station, South Korea Using Soft Computing Techniques

    Article • The International Journal of Ocean and Climate Systems, December 2014, SAGE Publications

    Professor Ozgur Kisi, Dr Ozgur Kisi

  220. Estimation of mean monthly air temperatures in Turkey

    Article • Computers and Electronics in Agriculture, November 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  221. Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran

    Article • Computers and Electronics in Agriculture, October 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  222. Determining Flow Friction Factor in Irrigation Pipes Using Data Mining and Artificial Intelligence Approaches

    Article • Applied Artificial Intelligence, September 2014, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi, Mohammad Taghi Sattari

  223. Corrigendum to “Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review” [J. Hydrol. 514 (2014) 358–377]

    Article • Journal of Hydrology, September 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  224. Modeling soil temperatures at different depths by using three different neural computing techniques

    Article • Theoretical and Applied Climatology, August 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  225. Discussion of “Simple ET0 Forms of Penman’s Equation without Wind and/or Humidity Data. I: Theoretical Development” by John D. Valiantzas

    Article • Journal of Irrigation and Drainage Engineering, July 2014, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  226. Investigation of Empirical Mode Decomposition in Forecasting of Hydrological Time Series

    Article • Water Resources Management, June 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  227. Investigation of trend analysis of monthly total precipitation by an innovative method

    Article • Theoretical and Applied Climatology, June 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  228. Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

    Article • Journal of Hydrology, June 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  229. Discussion of “Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall” by M. R. Mustafa, R. B. Rezaur, S. Saiedi, H. Rahardjo, and M. H. Isa

    Article • Journal of Hydrologic Engineering, June 2014, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  230. Determination of Mean Velocity and Discharge in Natural Streams Using Neuro-Fuzzy and Neural Network Approaches

    Article • Water Resources Management, May 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  231. Comparison of Two Different Adaptive Neuro-Fuzzy Inference Systems in Modelling Daily Reference Evapotranspiration

    Article • Water Resources Management, May 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  232. Runoff Estimation by Machine Learning Methods and Application to the Euphrates Basin in Turkey

    Article • Journal of Hydrologic Engineering, May 2014, American Society of Civil Engineers (ASCE)

    Dr Nitin Muttil, Professor Ozgur Kisi

  233. Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey

    Article • Journal of Hydrology, May 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi, Dr. MURAT AY

  234. Modelling of chemical oxygen demand by using ANNs, ANFIS and k-means clustering techniques

    Article • Journal of Hydrology, April 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi, Dr. MURAT AY

  235. Discussion of “Comparison of Artificial Neural Network Models for Sediment Yield Prediction at Single Gauging Station of Watershed in Eastern India” by Ajai Singh, Mohd Imtiyaz, R. K. Isaac, and D. M. Denis

    Article • Journal of Hydrologic Engineering, March 2014, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  236. Modeling solar radiation of Mediterranean region in Turkey by using fuzzy genetic approach

    Article • Energy, January 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  237. Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate

    Article • Journal of Irrigation and Drainage Engineering, January 2014, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  238. Modeling of Suspended Sediment Concentration Carried in Natural Streams Using Fuzzy Genetic Approach

    Article • January 2014, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  239. Generalizability of Gene Expression Programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran

    Article • Journal of Hydrology, January 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  240. Local vs. external training of neuro-fuzzy and neural networks models for estimating reference evapotranspiration assessed through k-fold testing

    Article • Hydrology Research, December 2013, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  241. Modeling of Dissolved Oxygen in River Water Using Artificial Intelligence Techniques

    Article • Journal of Environmental Informatics, December 2013, International Society for Environmental Information Science (ISEIS)

    Professor Ozgur Kisi

  242. Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff

    Article • Applied Soft Computing, December 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  243. Estimation of Monthly Mean Reference Evapotranspiration in Turkey

    Article • Water Resources Management, November 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  244. Applicability of Mamdani and Sugeno fuzzy genetic approaches for modeling reference evapotranspiration

    Article • Journal of Hydrology, November 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  245. Comparison of different methods for developing a stage-discharge curve of the Kizilirmak River

    Article • Journal of Flood Risk Management, October 2013, Wiley

    Professor Ozgur Kisi, Mahsa H.Kashani

  246. Monthly pan evaporation modeling using linear genetic programming

    Article • Journal of Hydrology, October 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  247. Anfis to estimate discharge capacity of rectangular side weir

    Article • Proceedings of the Institution of Civil Engineers - Water Management, October 2013, ICE Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  248. A genetic programming technique for lake level modeling

    Article • Hydrology Research, September 2013, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  249. Modeling dimensionless longitudinal dispersion coefficient in natural streams using artificial intelligence methods

    Article • KSCE Journal of Civil Engineering, September 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  250. Estimation of daily dew point temperature using genetic programming and neural networks approaches

    Article • Hydrology Research, August 2013, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  251. Evolutionary neural networks for monthly pan evaporation modeling

    Article • Journal of Hydrology, August 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  252. “Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations” by Jalal Shiri & Ozgur Kisi [Computers and Geosciences (2011) 1692–1701]

    Article • Computers & Geosciences, July 2013, Elsevier

    Professor Ozgur Kisi

  253. Predicting groundwater level fluctuations with meteorological effect implications—A comparative study among soft computing techniques

    Article • Computers & Geosciences, July 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  254. Fuzzy Genetic Approach for Estimating Reference Evapotranspiration of Turkey: Mediterranean Region

    Article • Water Resources Management, May 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  255. Prediction of long-term monthly air temperature using geographical inputs

    Article • International Journal of Climatology, March 2013, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  256. Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia

    Article • Computers & Geosciences, March 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  257. Evaluation of different data management scenarios for estimating daily reference evapotranspiration

    Article • Hydrology Research, February 2013, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  258. Estimating Daily Pan Evaporation Using Different Data-Driven Methods and Lag-Time Patterns

    Article • Water Resources Management, February 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  259. Estimation of dew point temperature using neuro-fuzzy and neural network techniques

    Article • Theoretical and Applied Climatology, February 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  260. Modeling rainfall-runoff process using soft computing techniques

    Article • Computers & Geosciences, February 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  261. Global cross-station assessment of neuro-fuzzy models for estimating daily reference evapotranspiration

    Article • Journal of Hydrology, February 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  262. Prediction of Discharge Coefficient for Trapezoidal Labyrinth Side Weir Using a Neuro-Fuzzy Approach

    Article • Water Resources Management, January 2013, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  263. Estimation of Reference Evapotranspiration: Need for Generalized Models

    Article • Irrigation & Drainage Systems Engineering, January 2013, OMICS Publishing Group

    Professor Ozgur Kisi, Dr Ozgur Kisi

  264. Modeling monthly pan evaporations using fuzzy genetic approach

    Article • Journal of Hydrology, January 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  265. Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall

    Article • Journal of Hydrologic Engineering, January 2013, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi

  266. System dynamics simulation of soil water resources with data support from the Yucheng Comprehensive Experimental Station, North China

    Article • Hydrology Research, December 2012, IWA Publishing

    Professor Ozgur Kisi

  267. Estimating soil wetting patterns for drip irrigation using genetic programming

    Article • Spanish Journal of Agricultural Research, November 2012, Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA)

    Professor Ozgur Kisi

  268. Damage detection in Timoshenko beam structures by multilayer perceptron and radial basis function networks

    Article • Neural Computing and Applications, November 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  269. Comparison of Gene Expression Programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the Basque Country (Northern Spain)

    Article • Energy Conversion and Management, October 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi, J. Javier López

  270. Estimation of Daily Pan Evaporation Using Two Different Adaptive Neuro-Fuzzy Computing Techniques

    Article • Water Resources Management, September 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  271. Estimation of Daily Suspended Sediment Load by Using Wavelet Conjunction Models

    Article • Journal of Hydrologic Engineering, September 2012, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  272. Forecasting daily stream flows using artificial intelligence approaches

    Article • ISH Journal of Hydraulic Engineering, September 2012, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  273. Modeling discharge-suspended sediment relationship using least square support vector machine

    Article • Journal of Hydrology, August 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  274. Estimating daily reference evapotranspiration using available and estimated climatic data by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)

    Article • Hydrology Research, July 2012, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  275. Prediction of fatty acid composition of vegetable oils based on rheological measurements using nonlinear models

    Article • European Journal of Lipid Science and Technology, July 2012, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  276. Suspended sediment modeling using genetic programming and soft computing techniques

    Article • Journal of Hydrology, July 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  277. Application of Non-linear Models to Predict Inhibition Effects of Various Plant Hydrosols on Listeria monocytogenes Inoculated on Fresh-Cut Apples

    Article • Foodborne Pathogens and Disease, July 2012, Mary Ann Liebert Inc

    Professor Ozgur Kisi, Dr Ozgur Kisi

  278. Pan Evaporation Modeling Using Neural Computing Approach for Different Climatic Zones

    Article • Water Resources Management, June 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  279. SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment

    Article • Journal of Hydrology, June 2012, Elsevier

    Dr Hossein Tabari, Professor Ozgur Kisi, Dr Ozgur Kisi

  280. River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques

    Article • Computers & Geosciences, June 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  281. Modeling of Dissolved Oxygen Concentration Using Different Neural Network Techniques in Foundation Creek, El Paso County, Colorado

    Article • Journal of Environmental Engineering, June 2012, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi, Dr. MURAT AY

  282. Precipitation forecasting by using wavelet-support vector machine conjunction model

    Article • Engineering Applications of Artificial Intelligence, June 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  283. Forecasting Water Level Fluctuations of Urmieh Lake using Gene Expression Programming and Adaptive Neuro-Fuzzy Inference System

    Article • The International Journal of Ocean and Climate Systems, June 2012, SAGE Publications

    Professor Ozgur Kisi, Dr Ozgur Kisi

  284. Modeling antimicrobial effect of different grape pomace and extracts on S. aureus and E. coli in vegetable soup using artificial neural network and fuzzy logic system

    Article • Expert Systems with Applications, June 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  285. Letter to the Editor on “Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models” by Ozgur Kisi & Jalal Shiri [Water Resources Management 25 (2011) 3135–3152]

    Article • Water Resources Management, May 2012, Springer Science + Business Media

    Professor Ozgur Kisi

  286. REPLY to Discussion of “Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models”

    Article • Water Resources Management, May 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  287. Least squares support vector machine for modeling daily reference evapotranspiration

    Article • Irrigation Science, April 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  288. Forecasting daily lake levels using artificial intelligence approaches

    Article • Computers & Geosciences, April 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  289. Generalized Neurofuzzy Models for Estimating Daily Pan Evaporation Values from Weather Data

    Article • Journal of Irrigation and Drainage Engineering, April 2012, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  290. Modeling discharge–sediment relationship using neural networks with artificial bee colony algorithm

    Article • Journal of Hydrology, March 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  291. Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches

    Article • Expert Systems with Applications, February 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  292. River Flow Estimation and Forecasting by Using Two Different Adaptive Neuro-Fuzzy Approaches

    Article • Water Resources Management, February 2012, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  293. Investigating chaos in river stage and discharge time series

    Article • Journal of Hydrology, January 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  294. Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)

    Article • Journal of Hydrology, January 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi, J. Javier López

  295. Wavelet and neuro-fuzzy conjunction model for streamflow forecasting

    Article • Hydrology Research, December 2011, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  296. A combined generalized regression neural network wavelet model for monthly streamflow prediction

    Article • KSCE Journal of Civil Engineering, November 2011, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  297. Prediction of Short-Term Operational Water Levels Using an Adaptive Neuro-Fuzzy Inference System

    Article • Journal of Waterway Port Coastal and Ocean Engineering, November 2011, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  298. Intermittent Streamflow Forecasting by Using Several Data Driven Techniques

    Article • Water Resources Management, October 2011, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  299. Modeling Reference Evapotranspiration Using Evolutionary Neural Networks

    Article • Journal of Irrigation and Drainage Engineering, October 2011, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  300. Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations

    Article • Computers & Geosciences, October 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  301. Wind Speed Prediction by using Different Wavelet Conjunction Models

    Article • The International Journal of Ocean and Climate Systems, September 2011, SAGE Publications

    Professor Ozgur Kisi, Dr Ozgur Kisi

  302. River Suspended Sediment Load Prediction: Application of ANN and Wavelet Conjunction Model

    Article • Journal of Hydrologic Engineering, August 2011, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  303. Application of Artificial Intelligence to Estimate Daily Pan Evaporation Using Available and Estimated Climatic Data in the Khozestan Province (South Western Iran)

    Article • Journal of Irrigation and Drainage Engineering, July 2011, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  304. Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models

    Article • Water Resources Management, June 2011, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  305. Comparison of three artificial intelligence techniques for discharge routing

    Article • Journal of Hydrology, June 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi, Rahman Khatibi

  306. Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process

    Article • Journal of Hydrology, May 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  307. Performance Evaluation of ANN and ANFIS Models for Estimating Garlic Crop Evapotranspiration

    Article • Journal of Irrigation and Drainage Engineering, May 2011, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  308. Prediction of Effect of Natural Antioxidant Compounds on Hazelnut Oil Oxidation by Adaptive Neuro-Fuzzy Inference System and Artificial Neural Network

    Article • Journal of Food Science, April 2011, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  309. Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels

    Article • Advances in Engineering Software, April 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  310. An Empirical Investigation of the Impact of Individual and Work Characteristics on Telecommuting Success

    Article • IEEE Transactions on Dependable and Secure Computing, March 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Ozgur Kisi

  311. A wavelet-support vector machine conjunction model for monthly streamflow forecasting

    Article • Journal of Hydrology, March 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  312. Neural networks for estimation of discharge capacity of triangular labyrinth side-weir located on a straight channel

    Article • Expert Systems with Applications, January 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  313. Neural networks with artificial bee colony algorithm for modeling daily reference evapotranspiration

    Article • Irrigation Science, December 2010, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  314. A probe into the chaotic nature of daily streamflow time series by correlation dimension and largest Lyapunov methods

    Article • Applied Mathematical Modelling, December 2010, Elsevier

    Professor Ozgur Kisi

  315. Reply to the Discussion of “Evapotranspiration modelling using support vector machines” by R. J. Abrahartet al.

    Article • Hydrological Sciences Journal, November 2010, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  316. Discussion of “Application of neural network and adaptive neuro-fuzzy inference systems for river flow prediction”*

    Article • Hydrological Sciences Journal, November 2010, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  317. Frequency analyses of annual extreme rainfall series from 5 min to 24 h

    Article • Hydrological Processes, November 2010, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  318. Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model

    Article • Journal of Hydrology, November 2010, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  319. Estimation of Suspended Sediment Yield in Natural Rivers Using Machine-coded Linear Genetic Programming

    Article • Water Resources Management, October 2010, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  320. Evapotranspiration Modeling Using Linear Genetic Programming Technique

    Article • Journal of Irrigation and Drainage Engineering, October 2010, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  321. Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting

    Article • Water Resources Management, September 2010, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  322. Evapotranspiration modeling using a wavelet regression model

    Article • Irrigation Science, August 2010, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  323. Wavelet regression model for short-term streamflow forecasting

    Article • Journal of Hydrology, August 2010, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  324. Discussion of “Daily Pan Evaporation Modeling in a Hot and Dry Climate” by J. Piri, S. Amin, A. Moghaddamnia, A. Keshavarz, D. Han, and R. Remesan

    Article • Journal of Hydrologic Engineering, August 2010, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  325. Daily pan evaporation modeling using linear genetic programming technique

    Article • Irrigation Science, July 2010, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  326. River suspended sediment concentration modeling using a neural differential evolution approach

    Article • Journal of Hydrology, July 2010, Elsevier

    Professor Ozgur Kisi

  327. A machine code-based genetic programming for suspended sediment concentration estimation

    Article • Advances in Engineering Software, July 2010, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  328. Application of two different neural network techniques to lateral outflow over rectangular side weirs located on a straight channel

    Article • Advances in Engineering Software, June 2010, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  329. Reply to comment on ‘Kişi Ö. 2009. Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks. Hydrological Processes 23(2): 213-223’

    Article • Hydrological Processes, May 2010, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  330. Discussion of “Comparative Study of ANNs versus Parametric Methods in Rainfall Frequency Analysis” by Jianxun He and Caterina Valeo

    Article • Journal of Hydrologic Engineering, April 2010, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  331. Fuzzy Genetic Approach for Modeling Reference Evapotranspiration

    Article • Journal of Irrigation and Drainage Engineering, March 2010, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  332. Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique

    Article • Advances in Engineering Software, February 2010, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  333. Wavelet regression model as an alternative to neural networks for monthly streamflow forecasting

    Article • Hydrological Processes, December 2009, Wiley

    Professor Ozgur Kisi

  334. An artificial neural network model for the prediction of critical submergence for intake in a stratified fluid medium

    Article • Civil Engineering and Environmental Systems, December 2009, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  335. Comparison of two different data-driven techniques in modeling lake level fluctuations in Turkey

    Article • Journal of Hydrology, November 2009, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  336. Evapotranspiration modelling using support vector machines / Modélisation de l'évapotranspiration à l'aide de ‘support vector machines’

    Article • Hydrological Sciences Journal, October 2009, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  337. Bridge afflux analysis through arched bridge constrictions using artificial intelligence methods

    Article • Civil Engineering and Environmental Systems, September 2009, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  338. Neural Networks and Wavelet Conjunction Model for Intermittent Streamflow Forecasting

    Article • Journal of Hydrologic Engineering, August 2009, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  339. Neural network and wavelet conjunction model for modelling monthly level fluctuations in Turkey

    Article • Hydrological Processes, July 2009, Wiley

    Professor Ozgur Kisi

  340. Daily suspended sediment estimation using neuro-wavelet models

    Article • International Journal of Earth Sciences, June 2009, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  341. Comments on

    Article • Advances in Water Resources, June 2009, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  342. Evolutionary fuzzy models for river suspended sediment concentration estimation

    Article • Journal of Hydrology, June 2009, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  343. Adaptive neuro-fuzzy computing technique for suspended sediment estimation

    Article • Advances in Engineering Software, June 2009, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  344. Modeling monthly evaporation using two different neural computing techniques

    Article • Irrigation Science, May 2009, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  345. Suspended sediment concentration estimation by an adaptive neuro-fuzzy and neural network approaches using hydro-meteorological data

    Article • Journal of Hydrology, March 2009, Elsevier

    Professor Ozgur Kisi

  346. Modeling River Stage-Discharge Relationships Using Different Neural Network Computing Techniques

    Article • CLEAN - Soil Air Water, February 2009, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  347. Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks

    Article • Hydrological Processes, January 2009, Wiley

    Professor Ozgur Kisi

  348. Comment on ‘Nourani V, Mogaddam AA, Nadiri AO. 2008. An ANN-based model for spatiotemporal groundwater level forecasting.Hydrological Processes22: 5054-5066’

    Article • Hydrological Processes, January 2009, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  349. Modelling daily suspended sediment of rivers in Turkey using several data-driven techniques / Modélisation de la charge journalière en matières en suspension dans des rivières turques à l'aide de plusieurs techniques empiriques

    Article • Hydrological Sciences Journal, December 2008, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  350. Constructing neural network sediment estimation models using a data-driven algorithm

    Article • Mathematics and Computers in Simulation, October 2008, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  351. Stream flow forecasting using neuro-wavelet technique

    Article • Hydrological Processes, September 2008, Wiley

    Professor Ozgur Kisi

  352. Reply to comment on ‘Kisi O. 2007. Evapotranspiration modelling from climatic data using a neural computing technique.Hydrological Processes21:1925–1934’

    Article • Hydrological Processes, July 2008, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  353. The potential of different ANN techniques in evapotranspiration modelling

    Article • Hydrological Processes, July 2008, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  354. Initial assessment of bridge backwater using an artificial neural network approach

    Article • Canadian Journal of Civil Engineering, May 2008, Canadian Science Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  355. A genetic programming approach to suspended sediment modelling

    Article • Journal of Hydrology, April 2008, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  356. Predicting the compressive strength of steel fiber added lightweight concrete using neural network

    Article • Computational Materials Science, April 2008, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  357. River flow forecasting and estimation using different artificial neural network techniques

    Article • Hydrology Research, February 2008, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  358. Streamflow Forecasting Using Different Artificial Neural Network Algorithms

    Article • Journal of Hydrologic Engineering, September 2007, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  359. Comparison of different ANN techniques in river flow prediction

    Article • Civil Engineering and Environmental Systems, September 2007, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  360. Wavelet and neuro-fuzzy conjunction model for precipitation forecasting

    Article • Journal of Hydrology, August 2007, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  361. Adaptive Neurofuzzy Computing Technique for Evapotranspiration Estimation

    Article • Journal of Irrigation and Drainage Engineering, August 2007, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  362. Estimation of total sediment load concentration obtained by experimental study using artificial neural networks

    Article • Environmental Fluid Mechanics, July 2007, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  363. Prediction of Hydropower Energy Using ANN for the Feasibility of Hydropower Plant Installation to an Existing Irrigation Dam

    Article • Water Resources Management, June 2007, Springer Science + Business Media

    Professor Ozgur Kisi, Dr Ozgur Kisi

  364. Türkçede Üçüncü Kişi Buyrum Yapıları

    Article • Ankara Üniversitesi Dil ve Tarih-Coğrafya Fakültesi Dergisi, January 2007, Ankara University

    Professor Ozgur Kisi, Dr Ozgur Kisi

  365. Evapotranspiration modelling from climatic data using a neural computing technique

    Article • Hydrological Processes, January 2007, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  366. Suspended sediment prediction using two different feed-forward back-propagation algorithms

    Article • Canadian Journal of Civil Engineering, January 2007, Canadian Science Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  367. Generalized regression neural networks for evapotranspiration modelling

    Article • Hydrological Sciences Journal, December 2006, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  368. Daily pan evaporation modelling using a neuro-fuzzy computing technique

    Article • Journal of Hydrology, October 2006, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  369. Evapotranspiration estimation using feed-forward neural networks

    Article • Hydrology Research, June 2006, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  370. Methods to improve the neural network performance in suspended sediment estimation

    Article • Journal of Hydrology, February 2006, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  371. River suspended sediment modelling using a fuzzy logic approach

    Article • Hydrological Processes, January 2006, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  372. Discussion of ȁFuzzy logic model approaches to daily pan evaporation estimation in western Turkeyȁ

    Article • Hydrological Sciences Journal, August 2005, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  373. Discussion of “Forecasting of Reference Evapotranspiration by Artificial Neural Networks” by Slavisa Trajkovic, Branimir Todorovic, and Miomir Stankovic

    Article • Journal of Irrigation and Drainage Engineering, August 2005, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  374. Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base de réseau de neurones

    Article • Hydrological Sciences Journal, August 2005, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  375. Closure to “Forecasting of Reference Evapotranspiration by Artificial Neural Networks” by Slavisa Trajkovic, Branimir Todorovic, and Miomir Stankovic

    Article • Journal of Irrigation and Drainage Engineering, August 2005, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi

  376. Discussion of “Estimating Actual Evapotranspiration from Limited Climatic Data Using Neural Computing Technique” by K. P. Sudheer, A. K. Gosain, and K. S. Ramasastri

    Article • Journal of Irrigation and Drainage Engineering, April 2005, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  377. Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation / Prévision et estimation de la concentration en matières en suspension avec des perceptrons multi-couches et l’algorithm...

    Article • Hydrological Sciences Journal, December 2004, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  378. Daily suspended sediment modelling using a fuzzy differential evolution approach / Modélisation journalière des matières en suspension par une approche d’évolution différentielle floue

    Article • Hydrological Sciences Journal, February 2004, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi

  379. River Flow Modeling Using Artificial Neural Networks

    Article • Journal of Hydrologic Engineering, January 2004, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi

  380. Forecasting of Reference Evapotranspiration by Artificial Neural Networks

    Article • Journal of Irrigation and Drainage Engineering, December 2003, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi

  381. Estimating Actual Evapotranspiration from Limited Climatic Data Using Neural Computing Technique

    Article • Journal of Irrigation and Drainage Engineering, June 2003, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi

  382. Ten-Stage Discrete Flood Routing for Dams Having Gated Spillways

    Article • Journal of Hydrologic Engineering, January 2001, American Society of Civil Engineers (ASCE)

    Professor Ozgur Kisi, Dr Ozgur Kisi