All Stories

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