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    Blind Parameter Identification of MAR Model and Mutation Hybrid GWO-SCA Optimized SVM for Fault Diagnosis of Rotating Machinery by Wenlong Fu, Jiawen Tan, Xiaoyuan Zhang, Tie Chen, Kai Wang

    Published 2019-01-01
    “…As a crucial and widely used component in industrial fields with great complexity, the health condition of rotating machinery is directly related to production efficiency and safety. …”
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    Article
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    Enhanced Success History Adaptive DE for Parameter Optimization of Photovoltaic Models by Yingjie Song, Daqing Wu, Ali Wagdy Mohamed, Xiangbing Zhou, Bin Zhang, Wu Deng

    Published 2021-01-01
    “…The different PV models are selected to prove the effectiveness of the proposed method. …”
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    IHDETBO: A Novel Optimization Method of Multi-Batch Subtasks Parallel-Hybrid Execution Cloud Service Composition for Cloud Manufacturing by Li-Nan Zhu, Peng-Hang Li, Xiao-Long Zhou

    Published 2019-01-01
    “…These candidate services will be selected and composed together to complete a complex manufacturing task. …”
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    Article
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    Application of Multiple-Population Genetic Algorithm in Optimizing the Train-Set Circulation Plan Problem by Yu Zhou, Leishan Zhou, Yun Wang, Zhuo Yang, Jiawei Wu

    Published 2017-01-01
    “…However, TCPP involves additional complexity due to the maintenance constraint of train-sets: train-sets must conduct maintenance tasks after running for a certain time and distance. …”
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    A New Hybrid Model for Underwater Acoustic Signal Prediction by Guohui Li, Wanni Chang, Hong Yang

    Published 2020-01-01
    “…In order to reduce the complexity of underwater acoustic signal sequence and improve operation efficiency, the original signal is decomposed by VMD into intrinsic mode components (IMFs) according to the characteristics of the signal, and dispersion entropy (DE) is used to analyze the complexity of IMF. …”
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    GNEA: A Graph Neural Network with ELM Aggregator for Brain Network Classification by Xin Bi, Zhixun Liu, Yao He, Xiangguo Zhao, Yongjiao Sun, Hao Liu

    Published 2020-01-01
    “…However, it is still challenging to learn complex network structures and the connectivity of brain regions in non-Euclidean space. …”
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