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EM-T1International Journal of Disaster Risk Science201910(3): 386-403Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of ChinaGuoli Zhang, Ming Wang, Kai Liu被引 342阅读 2高影响力 前 1%基金开放获取全球变化金融风险与机器学习
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EM-T1Natural Hazards2026122(7)Research on the application of the extreme learning machine model based on the slime mold optimization algorithm in landslide tsunami disaster early warning under small-sample tasksAoyu Wang, Ke Qu, Chao Wang, Xu Wang 等 5 人被引 0阅读 1人工智能复合灾害与灾害链疏散行为与风险认知
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EM-T1Risk Analysis202344(6): 1514-1534Spatiotemporal multi‐graph convolutional network‐based provincial‐day‐level terrorism risk predictionLanjun Luo, Boxiao Li, Chao Qi被引 6阅读 2高影响力 前 10%基金社会学与政治学金融风险与机器学习
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EM-T1Reliability Engineering & System Safety2025264: 111290-111290Two-stage remaining useful life prediction method across operating conditions based on small samples and novel health indicatorsYiming Li, Chao Fu, T.S. Liu, Zhihao Hu 等 5 人被引 26高影响力 前 10%控制与系统工程
EM-T1Reliability Engineering & System Safety2024252: 110428-110428A core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditionsXiangyu Ren, Yong Qin, Bin Li, Biao Wang 等 6 人被引 33阅读 3高影响力 前 10%基金控制与系统工程
EM-T1Reliability Engineering & System Safety2024250: 110327-110327DRSwin-ST: An intelligent fault diagnosis framework based on dynamic threshold noise reduction and sparse transformer with Shifted WindowsTao Zhou, Dechen Yao, Jianwei Yang, Chang Meng 等 6 人被引 60阅读 1高影响力 前 10%基金控制与系统工程
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EM-T1Reliability Engineering & System Safety2022227: 108736-108736Convolutional kernel aggregated domain adaptation for intelligent fault diagnosis with label noiseYulin Ma, Lei Li, Jun Hu Yang被引 41阅读 1高影响力 前 10%基金控制与系统工程
