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EM-T1Natural Hazards and Earth System Sciences202626(7): 3085-3106Enhancing long-term reservoir inflow forecasting: an integrated approach combining switch prediction method, ensemble rainfall forecasts, and machine learning techniquesHsuan-Yu Lin, Jhih-Huang Wang, Ming-Jui Chang被引 0基金开放获取有全文环境工程金融风险与机器学习
EM-T1Geomatics, Natural Hazards and Risk202617(1)GIS and remote sensing-based hybrid AHP–machine learning framework for flood susceptibility and risk assessment in the Wolaita Zone, Southern EthiopiaYeshiwase Yeneneh Wasie, Chia-Chun Ho, Po-Yen Yang, Dagne Almaw Kassa 等 5 人被引 0阅读 2开放获取全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Stochastic Environmental Research and Risk Assessment202539(12): 5765-5787Apply data science and feature selection techniques to predict carbon dioxide emissions in TaiwanShih‐Hsien Tseng, Feng Pei, Thi Ha Trang Duong被引 4高影响力 前 10%基金开放获取经济学与计量经济学金融风险与机器学习
EM-T1Reliability Engineering & System Safety2025264: 111361-111361Machine learning-enhanced fragility curves: Advancing reliability and safety of structures in seismic risk assessmentJohn Thedy, Kuo‐Wei Liao被引 28高影响力 前 1%基金土木与结构工程金融风险与机器学习
EM-T1Stochastic Environmental Research and Risk Assessment202539(3): 1015-1037Prediction of surface runoff quality and quantity using an integrated model and machine learning under climate change conditionsPourya Alipour Atmianlu, Naser Mehrdadi, Majid Shafiepour Motlagh, Mohammad Hossein Niksokhan 等 5 人被引 1水科学与技术金融风险与机器学习
EM-T1Natural Hazards and Earth System Sciences202525(1): 119-146Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired OptimizerJui‐Sheng Chou, Hoang-Minh Nguyen, Huy-Phuong Phan, Kuo-Lung Wang被引 11高影响力 前 10%基金开放获取环境管理、监测、政策与法规复合灾害与灾害链疏散行为与风险认知金融风险与机器学习
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EM-T1Stochastic Environmental Research and Risk Assessment202237(1): 395-412Application of hybrid machine learning model for flood hazard zoning assessmentsJhih-Huang Wang, Gwo‐Fong Lin, Yun-Ru Huang, I-Hang Huang 等 5 人被引 17全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Stochastic Environmental Research and Risk Assessment202136(6): 1541-1561An optimal integration of multiple machine learning techniques to real-time reservoir inflow forecastingI-Hang Huang, Ming-Jui Chang, Gwo‐Fong Lin被引 16基金开放获取环境工程金融风险与机器学习
EM-T1Accident Analysis & Prevention2020150: 105910-105910Mid-term prediction of at-fault crash driver frequency using fusion deep learning with city-level traffic violation dataYuan-Wei Wu, Tien‐Pen Hsu被引 39高影响力 前 10%基金安全、风险、可靠性与质量金融风险与机器学习
EM-T1Stochastic Environmental Research and Risk Assessment202034(6): 849-866Outflow sediment concentration forecasting by integrating machine learning approaches and time series analysis in reservoir desilting operationMing-Jui Chang, Gwo‐Fong Lin, Fong‐Zuo Lee, Yicheng Wang 等 7 人被引 18基金环境工程金融风险与机器学习
EM-T1Natural Hazards2020101(3): 727-754Optimized multi-output machine learning system for engineering informatics in assessing natural hazardsJui‐Sheng Chou, Dinh‐Nhat Truong, Yonatan Che被引 8阅读 1基金人工智能金融风险与机器学习
A+Journal of Marketing ResearchUTD24FT50201552(4): 453-466From “Where” to “What”: Distributed Representations of Brand Associations in the Human BrainYu-Ping Chen, Leif D. Nelson, Ming Hsu被引 99高影响力 前 1%基金开放获取市场营销金融风险与机器学习
