All Stories

  1. Berth-quay crane-experiment allocation method based on improved genetic algorithm for cargo and scientific research port
  2. Short-term photovoltaic power prediction based on volatility analysis and uncertainty measurement
  3. A fuzzy optimization model based on chaotic quantum AHA for offshore wind farm operation and maintenance scheduling problem
  4. SD-CSMOTE: Over-sampling method based on SNN-DPC and improved SMOTE
  5. Application of ensemble empirical mode decomposition with support vector regression and wavelet neural network in electric load forecasting
  6. Bi-directional gated recurrent unit enhanced twin support vector regression with seasonal mechanism for electric load forecasting
  7. Chaos crossover quantum attraction-repulsion optimization algorithm
  8. Long Short-Term Memory-Based Twin Support Vector Regression for Probabilistic Load Forecasting
  9. Investigation on the reliability calculation method of gravity dam based on CNN-LSTM and Monte Carlo method
  10. A ship motion forecasting approach based on Fourier transform, regularized Bi-LSTM and chaotic quantum adaptive WOA
  11. MapReduce teaching learning based optimization algorithm for solving CEC-2013 LSGO benchmark Testsuit
  12. Uncertainty analysis of photovoltaic power generation system and intelligent coupling prediction
  13. An optimization method for maintenance routing and scheduling in offshore wind farms based on chaotic quantum Harris hawks optimization
  14. Optimizing berth-crane allocation considering tidal effects using chaotic quantum whale optimization algorithm
  15. Runoff prediction based on the IGWOLSTM model: Achieving accurate flood forecasting and emergency management
  16. The bi-long short-term memory based on multiscale and mesoscale feature extraction for electric load forecasting
  17. Correction: Li et al. Hybridizing Chaotic and Quantum Mechanisms and Fruit Fly Optimization Algorithm with Least Squares Support Vector Regression Model in Electric Load Forecasting. Energies 2018, 11, 2226
  18. Multi-hyperplane twin support vector regression guided with fuzzy clustering
  19. A hybrid model for deep learning short-term power load forecasting based on feature extraction statistics techniques
  20. Applications of chaotic quantum adaptive satin bower bird optimizer algorithm in berth-tugboat-quay crane allocation optimization
  21. The volatility mechanism and intelligent fusion forecast of new energy stock prices
  22. Optimization approach of berth-quay crane-truck allocation by the tide, environment and uncertainty factors based on chaos quantum adaptive seagull optimization algorithm
  23. CQND-WHO: chaotic quantum nonlinear differential wild horse optimizer
  24. Analysis and prediction of novel coronavirus pneumonia epidemic using hybrid response surface method with time-series and random forest
  25. A Priority Based Energy-Efficient Metaheuristic Routing Approach for Smart Healthcare System (SHS)
  26. A new intelligent hybrid forecasting method for power load considering uncertainty
  27. Applications of empirical wavelet decomposition, statistical feature extraction, and antlion algorithm with support vector regression for resident electricity consumption forecasting
  28. A floating offshore platform motion forecasting approach based on EEMD hybrid ConvLSTM and chaotic quantum ALO
  29. Use of weighted local constant method to short-term forecasting of electric load in cities at weekends
  30. Forecasting residential electricity consumption using the novel hybrid model
  31. Short‐term load forecasting based on a generalized regression neural network optimized by an improved sparrow search algorithm using the empirical wavelet decomposition method
  32. Intelligent Prediction of Photovoltaic Power Generation Considering Uncertainty Measurement
  33. Adoption of Blockchain Technology in Healthcare: Challenges, Solutions, and Comparisons
  34. Design of Metaheuristic Optimization Algorithms for Deep Learning Model for Secure IoT Environment
  35. Short-term load forecasting based on empirical wavelet transform and random forest
  36. Photovoltaic Power Generation Forecasting Based on the ARIMA-BPNN-SVR Model
  37. Blockchain Adoption to Secure the Food Industry: Opportunities and Challenges
  38. OD-XAI: Explainable AI-Based Semantic Object Detection for Autonomous Vehicles
  39. Optimizing Berth-quay Crane Allocation considering Economic Factors Using Chaotic Quantum SSA
  40. Guest editorial: Deep learning‐based intelligent communication systems: Using big data analytics
  41. A Comprehensive Review of the Technological Solutions to Analyse the Effects of Pandemic Outbreak on Human Lives
  42. A ship motion forecasting approach based on empirical mode decomposition method hybrid deep learning network and quantum butterfly optimization algorithm
  43. A hybrid approach for forecasting ship motion using CNN–GRU–AM and GCWOA
  44. A Taxonomy of Fake News Classification Techniques: Survey and Implementation Aspects
  45. AI-Empowered Recommender System for Renewable Energy Harvesting in Smart Grid System
  46. FETCH: A Deep Learning-Based Fog Computing and IoT Integrated Environment for Healthcare Monitoring and Diagnosis
  47. On the Dynamics and Feasibility of Transferred Inference for Diagnosis of Invasive Ductal Carcinoma: A Perspective
  48. Advanced Intelligent Technologies in Energy Forecasting and Economical Applications
  49. Forecasting short-term electricity load using hybrid support vector regression with grey catastrophe and random forest modeling
  50. QoS Improvement Using In-Network Caching Based on Clustering and Popularity Heuristics in CCN
  51. Electric Load Forecasting based on Wavelet Transform and Random Forest
  52. Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads
  53. Futuristic Technologies for Intelligent Manufacturing and Supply Chain Management
  54. Smart Evaluation of Green Campus Sustainability Considering Energy Utilization
  55. Application of COEMD-S-SVR model in tourism demand forecasting and economic behavior analysis: The case of Sanya City
  56. Sustainable Development Evaluation of Innovation and Entrepreneurship Education of Clean Energy Major in Colleges and Universities Based on SPA-VFS and GRNN Optimized by Chaos Bat Algorithm
  57. Internet of Things: Evolution, Concerns and Security Challenges
  58. Chaos cloud quantum bat hybrid optimization algorithm
  59. Evaluation and Forecasting of Wind Energy Investment Risk along the Belt and Road Based on a Novel Hybrid Intelligent Model
  60. Forecasting electricity consumption using a novel hybrid model
  61. An Intelligent Opportunistic Routing Algorithm for Wireless Sensor Networks and Its Application Towards e-Healthcare
  62. Fault detection in switching process of a substation using the SARIMA–SPC model
  63. Indoor Air Quality Monitoring Systems for Enhanced Living Environments: A Review toward Sustainable Smart Cities
  64. Special issue on networking technologies for sustainable computing
  65. A generalized regression model based on hybrid empirical mode decomposition and support vector regression with back‐propagation neural network for mid‐short‐term load forecasting
  66. A Survey on Decentralized Consensus Mechanisms for Cyber Physical Systems
  67. Electric Load Forecasting by Hybrid Self-Recurrent Support Vector Regression Model With Variational Mode Decomposition and Improved Cuckoo Search Algorithm
  68. Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward
  69. Application of Dual Modality Contrast Agent Combined with Multi-Scale Representation in Ultrasound-Magnetic Resonance Imaging Registration Scheme
  70. Construction of EMD-SVR-QGA Model for Electricity Consumption: Case of University Dormitory
  71. Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm
  72. A New Analytical Method for Reduction Process of Iron Ore Based on the Power Spectrum
  73. Novel chaotic bat algorithm for forecasting complex motion of floating platforms
  74. Periodogram estimation based on LSSVR-CCPSO compensation for forecasting ship motion
  75. Hybrid Empirical Mode Decomposition with Support Vector Regression Model for Short Term Load Forecasting
  76. Application of the Weighted K-Nearest Neighbor Algorithm for Short-Term Load Forecasting
  77. Short term load forecasting based on feature extraction and improved general regression neural network model
  78. Hybridizing Chaotic and Quantum Mechanisms and Fruit Fly Optimization Algorithm with Least Squares Support Vector Regression Model in Electric Load Forecasting
  79. Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model
  80. Combining Grey Model and Self-Adapting Intelligent Grey Model with Genetic Algorithm and Annual Share Changes in Natural Gas Demand Forecasting
  81. A Hybrid Seasonal Mechanism with a Chaotic Cuckoo Search Algorithm with a Support Vector Regression Model for Electric Load Forecasting
  82. Hybrid Chaotic Quantum Bat Algorithm with SVR in Electric Load Forecasting
  83. Applications of the Gray Degree-Based Factor Analysis on Cloud Image to Improve the Accuracy of Weather Recognition
  84. Wind Speed Forecasting Based on EMD and GRNN Optimized by FOA
  85. Applications of Hybrid EMD with PSO and GA for an SVR-Based Load Forecasting Model
  86. Icing Forecasting of Transmission Lines with a Modified Back Propagation Neural Network-Support Vector Machine-Extreme Learning Machine with Kernel (BPNN-SVM-KELM) Based on the Variance-Covariance Weight Determination Method
  87. Correction: Liang, Y., et al. Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Improved Cuckoo Search. Energies 2016, 9, 827
  88. Analysis and Modeling for China’s Electricity Demand Forecasting Using a Hybrid Method Based on Multiple Regression and Extreme Learning Machine: A View from Carbon Emission
  89. Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Improved Cuckoo Search
  90. A novel approach based on the Gauss-vSVR with a new hybrid evolutionary algorithm and input vector decision method for port throughput forecasting
  91. Hybridizing DEMD and Quantum PSO with SVR in Electric Load Forecasting
  92. Berth and quay crane coordinated scheduling using multi-objective chaos cloud particle swarm optimization algorithm
  93. Opening remarks
  94. Electric Load Forecasting Based on a Least Squares Support Vector Machine with Fuzzy Time Series and Global Harmony Search Algorithm
  95. Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression
  96. Port Throughput Forecasting by Using PPPR with Chaotic Efficient Genetic Algorithms and CMA
  97. Hybridization of seasonal chaotic cloud simulated annealing algorithm in a SVR-based load forecasting model
  98. Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm
  99. Multithreaded Parallel Dual Population Genetic Algorithm (MPDPGA) for unconstrained function optimizations on multi-core system
  100. Consistency issues of interval pairwise comparison matrices
  101. Kinetics for Reduction of Iron Ore Based on the Phase Space Reconstruction
  102. Application of seasonal SVR with chaotic gravitational search algorithm in electricity forecasting
  103. Linguistic Computational Model Based on 2-Tuples and Intervals
  104. A Multiobjective Bacterial Foraging Algorithm to Solve the Environmental Economic Dispatch Problem
  105. Numerical scales generated individually for analytic hierarchy process
  106. Kinetic model for direct smelting reduction process of Huimin iron ore
  107. Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting
  108. Hybrid optimization algorithm based on chaos, cloud and particle swarm optimization algorithm
  109. Measuring consistency of linguistic preference relations: a 2-tuple linguistic approach
  110. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation
  111. Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm
  112. Intelligent Energy Demand Forecasting
  113. Urban traffic flow forecasting using Gauss–SVR with cat mapping, cloud model and PSO hybrid algorithm
  114. Application of SVR with chaotic GASA algorithm in cyclic electric load forecasting
  115. Seasonal Support Vector Regression with Chaotic Genetic Algorithm in Electric Load Forecasting
  116. Preface
  117. Competitive analysis for make-to-order scheduling with reliable lead time quotation
  118. Study on Apparent Kinetic Prediction Model of the Smelting Reduction Based on the Time-Series
  119. Support Vector Regression with Chaotic Hybrid Algorithm in Cyclic Electric Load Forecasting
  120. A hybrid approach for short term electricity price and load forecasting
  121. Feature selection and accurate classification of single and multiple power quality events
  122. Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm
  123. SVR with Hybrid Chaotic Immune Algorithm for Seasonal Load Demand Forecasting
  124. Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm
  125. Hybrid evolutionary algorithms in a SVR traffic flow forecasting model
  126. Forecasting urban traffic flow by SVR with continuous ACO
  127. SVR with hybrid chaotic genetic algorithms for tourism demand forecasting
  128. Selecting the Individual Numerical Scale and Prioritization Method in the Analytic Hierarchy Process: A 2-Tuple Fuzzy Linguistic Approach
  129. SVR with Chaotic Genetic Algorithm in Taiwanese 3G Phone Demand Forecasting
  130. Application of salesman-like recommendation system in 3G mobile phone online shopping decision support
  131. Seasonal adjustment in a SVR with chaotic simulated annealing algorithm traffic flow forecasting model
  132. Application of seasonal SVR with chaotic immune algorithm in traffic flow forecasting
  133. Application of chaotic ant swarm optimization in electric load forecasting
  134. Consensus models for AHP group decision making under row geometric mean prioritization method
  135. Electric load forecasting by SVR with chaotic ant swarm optimization
  136. Taiwanese 3G mobile phone demand forecasting by SVR with hybrid evolutionary algorithms
  137. Hybrid evolutionary algorithms in a SVR-based electric load forecasting model
  138. Application of hybrid genetic algorithm and simulated annealing in a SVR traffic flow forecasting model
  139. Electric load forecasting by support vector model
  140. Preface
  141. Global competitiveness measurement for the tourism sector
  142. Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model
  143. Rainfall forecasting by technological machine learning models
  144. Composite of support vector regression and evolutionary algorithms in car-rental revenue forecasting
  145. Using genetic algorithms to solve luggage typesetting problem
  146. The potentiality of support vector regression with immune algorithm for regional electric load forecasting
  147. A recurrent support vector regression model in rainfall forecasting
  148. Continuous ant colony optimization algorithms in a support vector regression based financial forecasting model
  149. Potential assessment of the support vector regression technique in rainfall forecasting
  150. Software reliability forecasting by support vector machines with simulated annealing algorithms
  151. Feasibility Assessment of Support Vector Regression Models with Immune Algorithms in Predicting Fatigue Life of Composites
  152. An Improved Neural Network Model in Forecasting Arrivals
  153. Support vector machines with simulated annealing algorithms in electricity load forecasting
  154. Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms
  155. Predicting engine reliability by support vector machines
  156. Forecasting Tourism Demand Using a Multifactor Support Vector Machine Model
  157. Firm Size Transmission Effect and Price-Volume Relationship Analysis During Financial Tsunami Periods
  158. The Volatility for Pre and Post Global Financial Crisis