All Stories

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

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

    Article • Atmosphere, November 2024, MDPI AG

    Professor Ozgur Kisi

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

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

    Article • Atmosphere, December 2023, MDPI AG

    Professor Ozgur Kisi

  20. 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

  21. Comparison of improved relevance vector machines for streamflow predictions

    Article • Journal of Forecasting, September 2023, Wiley

    Professor Ozgur Kisi

  22. 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

  23. 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

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

    Article • Mathematics, July 2023, MDPI AG

    Professor Shamsuddin Shahid , Professor Ozgur Kisi

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

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

    Article • Water, April 2023, MDPI AG

    Professor Ozgur Kisi

  31. 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

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

    Article • Water, March 2023, MDPI AG

    Professor Ozgur Kisi

  33. 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

  34. Groundwater level modeling using Augmented Artificial Ecosystem Optimization

    Article • Journal of Hydrology, February 2023, Elsevier

    Professor Ozgur Kisi, Thieu Nguyen

  35. 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

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

    Article • Water, January 2023, MDPI AG

    PhD Alban Kuriqi, Professor Ozgur Kisi

  37. 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

  38. 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

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

    Article • January 2023, Elsevier

    Professor Ozgur Kisi

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

    Article • Agronomy, December 2022, MDPI AG

    PhD Alban Kuriqi, Professor Ozgur Kisi

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

    Article • Geocarto International, December 2022, Taylor & Francis

    Professor Ozgur Kisi

  42. 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

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

    Article • Applied Soft Computing, December 2022, Elsevier

    Professor Ozgur Kisi

  44. 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

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

    Article • Sustainability, November 2022, MDPI AG

    Professor Ozgur Kisi

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

    Article • Water, November 2022, MDPI AG

    Professor Ozgur Kisi, Dr Sujay Raghavendra Naganna

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

    Article • Water, November 2022, MDPI AG

    Professor Ozgur Kisi

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

    Article • Energy Reports, November 2022, Elsevier

    Professor Ozgur Kisi

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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

  60. 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

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

    Article • January 2022, Elsevier

    Professor Ozgur Kisi

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

    Article • Water, December 2021, MDPI AG

    PhD Alban Kuriqi, Professor Ozgur Kisi

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

    Article • October 2021, Wiley

    Professor Ozgur Kisi

  64. 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

  65. 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

  66. 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

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

    Article • Sustainability, August 2021, MDPI AG

    Professor Ozgur Kisi

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

    Article • Geocarto International, June 2021, Taylor & Francis

    Professor Ozgur Kisi

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

    Article • Sustainability, May 2021, MDPI AG

    Professor Ozgur Kisi

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

    Article • Sustainability, April 2021, MDPI AG

    Professor Shamsuddin Shahid , Professor Ozgur Kisi

  71. 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

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

    Article • Water, February 2021, MDPI AG

    Professor Ozgur Kisi

  73. 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

  74. 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

  75. 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

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

    Article • Sustainability, December 2020, MDPI AG

    Professor Ozgur Kisi, Professor Shamsuddin Shahid

  77. 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

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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

  83. 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

  84. 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

  85. 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

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

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

    Professor Ozgur Kisi

  87. 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

  88. 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

  89. 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

  90. Reference Evapotranspiration Modeling Using New Heuristic Methods

    Article • Entropy, May 2020, MDPI AG

    PhD Alban Kuriqi, Professor Ozgur Kisi, Dr Ahmed Elshafie

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

    Article • Climate, March 2020, MDPI AG

    PhD Alban Kuriqi, Professor Ozgur Kisi

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

    Article • Sustainability, March 2020, MDPI AG

    Professor Ozgur Kisi

  93. 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

  94. 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

  95. 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

  96. 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

  97. 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

  98. 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

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

    Article • Water, October 2019, MDPI AG

    Dr Ahmed Elshafie, Professor Ozgur Kisi

  100. Daily streamflow prediction using optimally pruned extreme learning machine

    Article • Journal of Hydrology, October 2019, Elsevier

    Professor Ozgur Kisi

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

    Article • Meteorological Applications, September 2019, Wiley

    Professor Ozgur Kisi

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

    Article • Journal of Hydrology, August 2019, Elsevier

    Professor Ozgur Kisi

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

    Article • Meteorological Applications, June 2019, Wiley

    Professor Ozgur Kisi

  104. 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

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

    Article • International Journal of Climatology, February 2019, Wiley

    Professor Ozgur Kisi

  106. 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

  107. 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

  108. 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

  109. 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

  110. Stable alluvial channel design using evolutionary neural networks

    Article • Journal of Hydrology, September 2018, Elsevier

    Professor Ozgur Kisi, Professor Bahram Gharabaghi

  111. 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

  112. 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

  113. 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

  114. 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

  115. 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

  116. 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

  117. 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

  118. Pan evaporation modeling using four different heuristic approaches

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

    Professor Ozgur Kisi

  119. 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

  120. 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

  121. 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

  122. 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

  123. 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

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

    Article • Journal of Hydrology, June 2017, Elsevier

    Professor Ozgur Kisi

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

    Article • Journal of Hydrology, June 2017, Elsevier

    Professor Ozgur Kisi

  126. 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

  127. 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

  128. 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

  129. 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

  130. 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

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

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

    Professor Ozgur Kisi

  132. 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

  133. 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

  134. Evaporation modelling using different machine learning techniques

    Article • International Journal of Climatology, March 2017, Wiley

    Professor Ozgur Kisi, Dr. Muhammad Bilal

  135. 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

  136. 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

  137. 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

  138. 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

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

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

    Professor Ozgur Kisi

  140. 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

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

    Article • Journal of Hydrology, December 2016, Elsevier

    Dr Ozgur Kisi, Professor Ozgur Kisi

  142. 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

  143. 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

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

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

    Professor Ozgur Kisi

  145. 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

  146. 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

  147. 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

  148. 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

  149. 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

  150. 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

  151. 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

  152. 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

  153. 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

  154. 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

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

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

    Professor Ozgur Kisi

  156. 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

  157. 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

  158. 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

  159. 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

  160. 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

  161. 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

  162. 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

  163. 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

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

    Article • Hydrology Research, May 2016, IWA Publishing

    Professor Ozgur Kisi

  165. 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

  166. 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

  167. 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

  168. 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

  169. Modeling reference evapotranspiration using three different heuristic regression approaches

    Article • Agricultural Water Management, May 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  170. 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

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

    Article • Journal of Hydrology, April 2016, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  172. 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

  173. 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

  174. 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

  175. 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

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

    Article • Hydrology Research, March 2016, IWA Publishing

    Professor Ozgur Kisi

  177. 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

  178. 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

  179. 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

  180. 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

  181. 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

  182. 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

  183. 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

  184. 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

  185. 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

  186. 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

  187. 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

  188. 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

  189. 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

  190. 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

  191. 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

  192. 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

  193. 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

  194. 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

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

    Article • Journal of Hydrology, August 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

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

    Article • Journal of Hydrology, August 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  197. 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

  198. 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

  199. 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

  200. 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

  201. 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

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

    Article • Ocean Engineering, May 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  203. 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

  204. 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

  205. 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

  206. 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

  207. 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

  208. 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

  209. 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

  210. 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

  211. 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

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

    Article • Journal of Hydrology, January 2015, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  213. 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

  214. 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

  215. Estimation of mean monthly air temperatures in Turkey

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

    Professor Ozgur Kisi, Dr Ozgur Kisi

  216. 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

  217. 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

  218. 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

  219. 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

  220. 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

  221. 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

  222. 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

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

    Article • Journal of Hydrology, June 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  224. 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

  225. 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

  226. 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

  227. 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

  228. 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

  229. 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

  230. 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

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

    Article • Proceedings of the Institution of Civil Engineers - Energy, January 2014, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  232. 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

  233. 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

  234. 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

  235. 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

  236. 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

  237. 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

  238. Estimation of Monthly Mean Reference Evapotranspiration in Turkey

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

    Professor Ozgur Kisi, Dr Ozgur Kisi

  239. 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

  240. 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

  241. Monthly pan evaporation modeling using linear genetic programming

    Article • Journal of Hydrology, October 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  242. 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

  243. A genetic programming technique for lake level modeling

    Article • Hydrology Research, September 2013, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  244. 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

  245. 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

  246. Evolutionary neural networks for monthly pan evaporation modeling

    Article • Journal of Hydrology, August 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  247. “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

  248. 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

  249. 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

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

    Article • International Journal of Climatology, March 2013, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  251. 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

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

    Article • Hydrology Research, February 2013, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  253. 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

  254. 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

  255. Modeling rainfall-runoff process using soft computing techniques

    Article • Computers & Geosciences, February 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  256. 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

  257. 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

  258. Estimation of Reference Evapotranspiration: Need for Generalized Models

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

    Professor Ozgur Kisi, Dr Ozgur Kisi

  259. Modeling monthly pan evaporations using fuzzy genetic approach

    Article • Journal of Hydrology, January 2013, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  260. 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

  261. 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

  262. 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

  263. 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

  264. 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

  265. 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

  266. 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

  267. Forecasting daily stream flows using artificial intelligence approaches

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

    Professor Ozgur Kisi, Dr Ozgur Kisi

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

    Article • Journal of Hydrology, August 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  269. 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

  270. 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

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

    Article • Journal of Hydrology, July 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  272. 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

  273. 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

  274. 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

  275. 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

  276. 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

  277. 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

  278. 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

  279. 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

  280. 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

  281. 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

  282. 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

  283. Forecasting daily lake levels using artificial intelligence approaches

    Article • Computers & Geosciences, April 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  284. 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

  285. 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

  286. 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

  287. 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

  288. Investigating chaos in river stage and discharge time series

    Article • Journal of Hydrology, January 2012, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  289. 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

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

    Article • Hydrology Research, December 2011, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  291. 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

  292. 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

  293. 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

  294. 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

  295. 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

  296. 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

  297. 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

  298. 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

  299. 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

  300. Comparison of three artificial intelligence techniques for discharge routing

    Article • Journal of Hydrology, June 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi, Rahman Khatibi

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

    Article • Journal of Hydrology, May 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  302. 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

  303. 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

  304. 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

  305. 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

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

    Article • Journal of Hydrology, March 2011, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  307. 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

  308. 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

  309. 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

  310. 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

  311. 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

  312. 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

  313. 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

  314. 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

  315. 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

  316. 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

  317. Evapotranspiration modeling using a wavelet regression model

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

    Professor Ozgur Kisi, Dr Ozgur Kisi

  318. Wavelet regression model for short-term streamflow forecasting

    Article • Journal of Hydrology, August 2010, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  319. 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

  320. Daily pan evaporation modeling using linear genetic programming technique

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

    Professor Ozgur Kisi, Dr Ozgur Kisi

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

    Article • Journal of Hydrology, July 2010, Elsevier

    Professor Ozgur Kisi

  322. 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

  323. 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

  324. 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

  325. 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

  326. 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

  327. 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

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

    Article • Hydrological Processes, December 2009, Wiley

    Professor Ozgur Kisi

  329. 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

  330. 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

  331. 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

  332. 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

  333. 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

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

    Article • Hydrological Processes, July 2009, Wiley

    Professor Ozgur Kisi

  335. 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

  336. Comments on

    Article • Advances in Water Resources, June 2009, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  337. Evolutionary fuzzy models for river suspended sediment concentration estimation

    Article • Journal of Hydrology, June 2009, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

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

    Article • Advances in Engineering Software, June 2009, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  339. Modeling monthly evaporation using two different neural computing techniques

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

    Professor Ozgur Kisi, Dr Ozgur Kisi

  340. 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

  341. 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

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

    Article • Hydrological Processes, January 2009, Wiley

    Professor Ozgur Kisi

  343. 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

  344. 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

  345. 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

  346. Stream flow forecasting using neuro-wavelet technique

    Article • Hydrological Processes, September 2008, Wiley

    Professor Ozgur Kisi

  347. 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

  348. The potential of different ANN techniques in evapotranspiration modelling

    Article • Hydrological Processes, July 2008, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  349. 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

  350. A genetic programming approach to suspended sediment modelling

    Article • Journal of Hydrology, April 2008, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  351. 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

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

    Article • Hydrology Research, February 2008, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

  353. 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

  354. 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

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

    Article • Journal of Hydrology, August 2007, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  356. 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

  357. 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

  358. 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

  359. Türkçede Üçüncü Kişi Buyrum Yapıları

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

    Professor Ozgur Kisi, Dr Ozgur Kisi

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

    Article • Hydrological Processes, January 2007, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  361. 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

  362. Generalized regression neural networks for evapotranspiration modelling

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

    Professor Ozgur Kisi, Dr Ozgur Kisi

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

    Article • Journal of Hydrology, October 2006, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  364. Evapotranspiration estimation using feed-forward neural networks

    Article • Hydrology Research, June 2006, IWA Publishing

    Professor Ozgur Kisi, Dr Ozgur Kisi

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

    Article • Journal of Hydrology, February 2006, Elsevier

    Professor Ozgur Kisi, Dr Ozgur Kisi

  366. River suspended sediment modelling using a fuzzy logic approach

    Article • Hydrological Processes, January 2006, Wiley

    Professor Ozgur Kisi, Dr Ozgur Kisi

  367. 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

  368. 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

  369. 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

  370. 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

  371. 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

  372. 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

  373. 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

  374. 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

  375. 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

  376. 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

  377. 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