Search Results - Whale-Pearson optimization algorithm

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  1. 1

    Unveiling the IoT's dark corners: anomaly detection enhanced by ensemble modelling by Jose, Jisha, Judith, J. E.

    ISSN: 0005-1144, 1848-3380
    Published: Ljubljana Taylor & Francis Ltd 02.04.2024
    Published in Automatika (02.04.2024)
    “… – Particle Swarm Optimizer, Whale-Pearson optimization algorithm, Harris-Hawks Optimizer, and Support Vector Machine with Particle Swarm optimization algorithm (SVM-PSO…”
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    Journal Article Paper
  2. 2

    Swarm Intelligence Based Feature Selection for Intrusion and Detection System in Cloud Infrastructure by Ravindranath, Vaishali, Ramasamy, Sasikala, Somula, Ramasubbareddy, Sahoo, Kshira Sagar, Gandomi, Amir H.

    Published: IEEE 01.07.2020
    “… In this regard, this paper proposes a method that utilizes the Whale Pearson hybrid feature selection wrapper for reducing the irrelevancy in the IDS…”
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    Conference Proceeding
  3. 3

    Ship Traffic Flow Analysis and Prediction in High-Traffic Areas Under Complex Environments by Luo, Liulu, Wang, Mei, Qiu, Chen, Kan, Ruixiang, Shen, Xianhao, Feng, Lanjin

    ISSN: 2076-3417, 2076-3417
    Published: Basel MDPI AG 01.11.2025
    Published in Applied sciences (01.11.2025)
    “…), while the parameters of VMD are simultaneously optimized via the whale optimization algorithm (WOA). Second, the Pearson…”
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    Journal Article
  4. 4

    A Novel Hybrid Algorithm for Feature Selection Based on Whale Optimization Algorithm by Zheng, Yuefeng, Li, Ying, Wang, Gang, Chen, Yupeng, Xu, Qian, Fan, Jiahao, Cui, Xueting

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2019
    Published in IEEE access (2019)
    “… Feature selection plays an important role in data mining and pattern recognition. In this paper, we propose a hybrid feature subset selection algorithm called the maximum Pearson maximum distance improved whale optimization algorithm (MPMDIWOA…”
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    Journal Article
  5. 5

    PM2.5 prediction based on modified whale optimization algorithm and support vector regression by Liu, Zuhan, Huang, Xin, Wang, Xing

    ISSN: 2045-2322, 2045-2322
    Published: London Nature Publishing Group UK 07.10.2024
    Published in Scientific reports (07.10.2024)
    “…) with modified Whale Optimization Algorithm(WOA) hybrid model (namely mWOA-SVR model) that can predict the PM 2.5 concentration…”
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    Journal Article
  6. 6

    Quantum-Enhanced Attention Neural Networks for PM2.5 Concentration Prediction by Huang, Tichen, Jiang, Yuyan, Gan, Rumeijiang, Wang, Fuyu

    ISSN: 2673-3951, 2673-3951
    Published: Basel MDPI AG 21.07.2025
    Published in Modelling (21.07.2025)
    “… (QMEWOA-QCAM-BiTCN-BiLSTM) based on an “optimization first, prediction later” approach. Feature selection using Pearson correlation and RFECV reduces model complexity, while the Whale Optimization Algorithm (WOA…”
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    Journal Article
  7. 7

    Integrated Strategy to Mitigate Motion-Induced Artifacts During Seizures in Electrical Impedance Tomography by Xu, Jiaming, Yang, Jingrong, Wu, Xinyu, Dong, Xiuzhen, Shi, Xuetao, Yang, Fang, Wang, Lei

    ISSN: 1530-437X, 1558-1748
    Published: New York IEEE 01.05.2025
    Published in IEEE sensors journal (01.05.2025)
    “…) of original boundary voltage to identify the disconnected electrodes, a whale optimization algorithm (WOA…”
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    Journal Article
  8. 8

    Short-term Prediction of Wind and Photovoltaic Power Based on the Fusion of Attention Mechanism and Improved Whale Optimization Algorithm by Zou, Jin, Ye, Jiaqing, Xue, Zhiliang, Zhang, Li, Wu, Feiyun

    ISSN: 1742-6588, 1742-6596, 1742-6596
    Published: Bristol IOP Publishing 01.11.2025
    Published in Journal of physics. Conference series (01.11.2025)
    “… the attention mechanism and the improved whale optimization algorithm is proposed. Firstly, Pearson correlation analysis is employed to measure the association between each…”
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    Journal Article
  9. 9

    基于WOA-LSTM的工作面瓦斯涌出量预测研究 by 张玉财, 王毅, 郭凯岩

    ISSN: 1008-4495
    Published: 太原理工大学 安全与应急管理工程学院,山西 太原 030024 01.10.2023
    Published in 矿业安全与环保 (01.10.2023)
    “…TD712.5; 为了提高瓦斯涌出量预测的科学性和准确性,提出一种基于鲸鱼优化算法(WOA)和长短期记忆网络(LSTM)的瓦斯涌出量多步预测模型.该模型首先采用皮尔逊(Pearson)相关系数法进行瓦斯涌出量影响因素的特征分析,筛选了 9 个主要影响瓦斯涌出量变化的特征作为模型的外部输入特征;其次采用鲸鱼优化算法对…”
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    Journal Article
  10. 10

    Short-Term Wind Power Prediction Based on WVMD and Spatio-Temporal Dual-Stream Network by Zhao, Yingnan, Ruan, Yuyuan, Peng, Zhen

    ISSN: 1546-2226, 1546-2218, 1546-2226
    Published: Henderson Tech Science Press 2024
    Published in Computers, materials & continua (2024)
    “… (Whale Optimization Algorithm, Variational Mode Decomposition, Dual Stream Network) model. The model first applies Pearson correlation coefficient…”
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    Journal Article
  11. 11

    Stacking ensemble learning fused with whale optimisation algorithm based method for crown prediction of hot-rolled strip by Meng, Ling Ming, Ding, Jing Guo, Du, Haozhan, Dong, Zi Shuo, Gao, Peng, Zhang, Dian Hua

    ISSN: 0301-9233, 1743-2812
    Published: London, England SAGE Publications 01.05.2024
    Published in Ironmaking & steelmaking (01.05.2024)
    “…) and linear regression, whose hyperparameters are optimised by whale optimisation algorithm (WOA…”
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    Journal Article
  12. 12

    WOA-VMD-SCINet: Hybrid model for accurate prediction of ultra-short-term Photovoltaic generation power considering seasonal variations by Zhao, Yonghui, Peng, Xunhui, Tu, Teng, Li, Zhen, Yan, Peiyu, Li, Chao

    ISSN: 2352-4847, 2352-4847
    Published: Elsevier Ltd 01.12.2024
    Published in Energy reports (01.12.2024)
    “… This paper proposes an ultra-short-term photovoltaic power prediction method based on a hybrid model of whale optimization algorithm, variational mode decomposition and sample convolutional interactive neural network…”
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    Journal Article
  13. 13
  14. 14

    PM 2.5 prediction based on modified whale optimization algorithm and support vector regression by Liu, Zuhan, Huang, Xin, Wang, Xing

    ISSN: 2045-2322
    Published: England 07.10.2024
    Published in Scientific reports (07.10.2024)
    “…) with modified Whale Optimization Algorithm(WOA) hybrid model (namely mWOA-SVR model) that can predict the PM concentration…”
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    Journal Article
  15. 15

    Active Fault Diagnosis Method Based on Deep Forest and Its Industrial Application by Li, Dong, He, Kaixun, Tao, Lili, Liu, Hanlong

    Published: IEEE 08.11.2024
    “… Additionally, the whale optimization algorithm (WOA) is utilised to search the optimal sinusoidal auxiliary signal parameter, thereby highlighting specific fault manifestations and improving the model's diagnostic capability…”
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    Conference Proceeding
  16. 16

    State-of-Health Estimation for Lithium-ion Batteries Based on An Improved Gated Dual Attention Unit Neural Networks by Shi, Zhenglu, Xu, Jiazhu, Zeng, Linjun, He, Yang

    Published: IEEE 04.11.2024
    “… Then, the whale optimization algorithm method is employed to optimize the hyperparameters of the gated dual attention unit model…”
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    Conference Proceeding
  17. 17

    Photovoltaic Power Generation Prediction Based on IWOA-TCN-Self-Attention-LSTM Neural Network by Wang, Junming, Hu, Zhiheng, Hu, Zhenzhen

    Published: IEEE 19.04.2024
    “… This paper presents a fusion model (IWOA- TCN-Self-Attention-LSTM) based on improved whale optimization algorithm, self-attention mechanism, time convolution neural network and long short-term memory neural network…”
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    Conference Proceeding
  18. 18

    Wind Speed Prediction Method Based on Combined Deep Learning Model by Zeng, Chuxi, Xia, Zhipnig, Zhou, Yihuan, Li, Xi

    Published: IEEE 19.04.2024
    “…) through the whale optimization algorithm (WOA). Then decomposes the initial wind speed data into intrinsic mode functions (IMFs…”
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    Conference Proceeding
  19. 19

    Estimation of Soil Organic Carbon Content in Gannan Grassland Based on SSA Optimized CatBoost by Ma, Zi-Ming, Zhang, Mei-Ling, Liu, Xing-Yu

    ISSN: 0250-3301
    Published: China 08.08.2025
    Published in Huanjing kexue (08.08.2025)
    “…, meteorological factors, elevation, and vegetation index, and 24 significant feature factors were screened out using Pearson correlation analysis…”
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    Journal Article