Search Results - Improved variational mode decomposition by tunicate swarm algorithm

A novel interpretable hybrid model for multi-step ahead dissolved oxygen forecasting in the Mississippi River basin.

Authors: Ali, Hayder Mohammed Mohammadi Ghaleni, Mehdi Moghaddasi, Mahnoosh et al.

Source: Stochastic Environmental Research & Risk Assessment; Dec2024, Vol. 38 Issue 12, p4629-4656, 28p

Subject Terms: KRIGING, WATER quality monitoring, WATERSHEDS, WATER temperature, ECOSYSTEM health, POTASSIUM

EEG Based Emotion Detection by Using Modified Tunicate Swarm Optimization Algorithm.

Authors: Tripathi, Amrendra Choudhury, Tanupriya Sharma, Hitesh Kumar

Source: Ingénierie des Systèmes d'Information; Aug2024, Vol. 29 Issue 4, p1333-1342, 10p

Subject Terms: OPTIMIZATION algorithms, EMOTION recognition, HILBERT-Huang transform, EMOTIONAL state, SIGNAL processing

A novel combination model for ultra-short-term wind speed prediction.

Authors: Xu, Shunqing Niu, Jincai

Source: Scientific Reports; 10/21/2025, Vol. 15 Issue 1, p1-12, 12p

Subject Terms: WIND forecasting, LONG short-term memory, FORECASTING, MATRIX decomposition, OPTIMIZATION algorithms, WIND power plants, WEATHER forecasting

A novel hybrid model based on MPA-VMD, QRMGM and KDE for carbon price prediction.

Authors: Zhang, Dabin Ye, Yufeng Fang, Yongmei et al.

Source: Management System Engineering; 7/3/2025, Vol. 4 Issue 1, p1-20, 20p

Subject Terms: CARBON pricing, FORECASTING, PREDICTION models, PROBABILITY density function, DECOMPOSITION method, GREENHOUSE gases, MARKET volatility

Predicting Porosity in Grain Compression Experiments Using Random Forest and Metaheuristic Optimization Algorithms.

Authors: Chen, Jiahao Li, Jiaxin Zheng, Deqian et al.

Source: Food Science & Nutrition; Apr2025, Vol. 13 Issue 4, p1-25, 25p

Subject Terms: METAHEURISTIC algorithms, GREY Wolf Optimizer algorithm, MACHINE learning, RANDOM forest algorithms, GRAIN storage, GRAIN

A novel crude oil prices forecasting model based on secondary decomposition.

Authors: Li, Guohui Yin, Shibo Yang, Hong

Source: Energy. Oct2022, Vol. 257, pN.PAG-N.PAG. 1p.

Subject Terms: *PETROLEUM sales & prices, *HILBERT-Huang transform, *FORECASTING, *MACHINE learning, *BASE oils, *TIME series analysis, *PETROLEUM

Tunicate Swarm Magnetic Optimization With Deep Convolution Neural Network For Collaborative Filter Recommendation.

Authors: Gupta, Shefali Goel, Ankit Dave, Dr Meenu

Source: Computer Journal; Oct2022, Vol. 65 Issue 10, p2664-2677, 14p

Subject Terms: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, STANDARD deviations, DEEP learning, MATHEMATICAL optimization, MOVEMENT sequences

Solar photovoltaic power forecasting for microgrid energy management system using an ensemble forecasting strategy.

Authors: Tayab, Usman Bashir Yang, Fuwen Metwally, Ahmed Sayed M. et al.

Source: Energy Sources Part A: Recovery, Utilization & Environmental Effects; 2022, Vol. 44 Issue 4, p10045-10070, 26p

Subject Terms: MULTILAYER perceptrons, SOLAR energy, ENERGY management, MICROGRIDS, STANDARD deviations, PARTICLE swarm optimization

MIVNDN: Ultra-Short-Term Wind Power Prediction Method with MSDBO-ICEEMDAN-VMD-Nons-DCTransformer Net.

Authors: Zhuang, Qingze Gao, Lu Zhang, Fei et al.

Source: Electronics (2079-9292); Dec2024, Vol. 13 Issue 23, p4829, 35p

Subject Terms: OPTIMIZATION algorithms, WIND power, DUNG beetles, RANK correlation (Statistics), DECOMPOSITION method

Study on an Assembly Prediction Method of RV Reducer Based on IGWO Algorithm and SVR Model.

Authors: Jin, Shousong Cao, Mengyi Qian, Qiancheng et al.

Source: Sensors (14248220); Jan2023, Vol. 23 Issue 1, p366, 22p

Subject Terms: PARTICLE swarm optimization, LATIN hypercube sampling, BACK propagation, ALGORITHMS, SEARCH algorithms, PRODUCT quality

Hybrid Improved Bird Swarm Algorithm with Extreme Learning Machine for Short-Term Power Prediction in Photovoltaic Power Generation System.

Authors: Wu, Dongchun Kan, Jiarong Lin, Hsiung-Cheng et al.

Source: Computational Intelligence & Neuroscience; 8/27/2021, p1-12, 12p

Subject Terms: PHOTOVOLTAIC power generation, PHOTOVOLTAIC power systems, MACHINE learning, BACK propagation, KRIGING, RELIABILITY in engineering

Research on Multi-Step Prediction of Short-Term Wind Power Based on Combination Model and Error Correction.

Authors: Li, Hua Wang, Zhen Shan, Binbin et al.

Source: Energies (19961073); Nov2022, Vol. 15 Issue 22, p8417, 21p

Subject Terms: WIND power, HILBERT-Huang transform, ERROR correction (Information theory), MACHINE learning, WIND power plants, FORECASTING

Cardiac arrhythmia detection from ECG signal using Siamese adversarial neural network.

Authors: Digumarthi, Jyothirmai Gayathri, V. M. Pitchai, R.

Source: Multimedia Tools & Applications; Apr2024, Vol. 83 Issue 14, p41457-41484, 28p

Photovoltaic MPPT control and improvement strategies considering environmental factors: based on PID-type sliding mode control and improved grey wolf optimization.

Authors: Liu, Leijia

Source: Measurement & Control (0020-2940); Feb2025, Vol. 58 Issue 2, p227-244, 18p

Subject Terms: SLIDING mode control, SUSTAINABILITY, PHOTOVOLTAIC power systems, CARBON emissions, SIMULATION software

Fault diagnosis model based on multi-strategy adaptive COA and improved weighted kernel ELM: A case study on wind turbine blade icing.

Authors: Wu, Xingtao Ding, Yunfei Zhao, Ruizhi et al.

Source: PLoS ONE; 8/28/2025, Vol. 20 Issue 8, p1-33, 33p

Subject Terms: FAULT diagnosis, EXTREME learning machines, STATISTICAL accuracy, RANDOM forest algorithms, WIND turbine blades, SUPERVISORY control & data acquisition systems, MATHEMATICAL optimization

DBN-GRU Fusion and Decomposition-OptimisationReconstruction Algorithm in Advertising Traffic Prediction.

Authors: Ronghua Zhang

Source: International Journal of Advanced Computer Science & Applications; 2024, Vol. 15 Issue 11, p601-610, 10p

Uncertainty prediction of wind speed based on improved multi-strategy hybrid models.

Authors: Xu, Xinyi Ma, Shaojuan Huang, Cheng

Source: Electronic Research Archive; 2025, Vol. 33 Issue 1, p1-33, 33p

Subject Terms: OPTIMIZATION algorithms, WIND speed, PHASE space, WAVELET transforms, WIND power

Long, short, and medium terms wind speed prediction model based on LSTM optimized by improved moth flame optimization algorithm.

Authors: Li, Runze Wang, Jianzhou Li, Jingrui et al.

Source: Environmental Science & Pollution Research; May2024, Vol. 31 Issue 25, p37256-37282, 27p

Subject Terms: OPTIMIZATION algorithms, WIND speed, PREDICTION models, WIND power, FLAME, WIND power plants, GRANULATION

Geographic Terms: CALIFORNIA

Enhanced ransomware attacks detection using feature selection, sensitivity analysis, and optimized hybrid model.

Authors: Zhang, Kun Wang, Yetong Bhatti, Uzair Aslam et al.

Source: Journal of Big Data; 11/3/2025, Vol. 12 Issue 1, p1-35, 35p

Subject Terms: RANSOMWARE, FEATURE selection, DETECTION algorithms, PREDICTION models, SENSITIVITY analysis, MACHINE learning, INTERNET security

Analysis and prediction of force characteristics of tubular turbine based on Hankel-DMD-LSTM.

Authors: Wu, Yanzhao Tao, Ran Zhu, Di et al.

Source: Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-25, 25p