All Stories

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