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浏览/检索结果: 共56条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Shapelet-based decomposition stack machine learning model explains more middle river reaches water level hydrological process with high accuracy early warning 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2025, 卷号: 662, 页码: 133927 作者:  Huan, Songhua   |  收藏  |   Climate change impacts on crop yields: A review of empirical findings, statistical crop models, and machine learning methods 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 16 作者:  Hu, Tongxi;  Zhang, Xuesong;  Khanal, Sami;  Wilson, Robyn;  Leng, Guoyong   |  收藏  |   A Deep Learning Method for Dynamic Process Modeling of Real Landslides Based on Fourier Neural Operator 期刊论文  OAI收割 EARTH AND SPACE SCIENCE, 2024, 卷号: 11, 期号: 3, 页码: 13 作者:  Chen, Yanglong;  Ouyang, Chaojun;  Xu, Qingsong;  Yang, Weibin   |  收藏  |   Aggravation of global maize yield loss risk under various hot and dry scenarios using multiple types of prediction approaches 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2024 作者:  Yin, Xiaomeng;  Leng, Guoyong;  Huang, Shengzhi;  Peng, Jian   |  收藏  |   NDVI joint process-based models drive a learning ensemble model for accurately estimating cropland net primary productivity (NPP) 期刊论文  OAI收割 FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 卷号: 11, 页码: 15 作者:  Wang, Zhaosheng;  Liu, Zhengjia;  Huang, Mei   |  收藏  |   Consensus-Agent Deep Reinforcement Learning for Face Aging 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1795-1809 作者:  Lin, Ling;  Liu, Hao;  Liang, Jinqiao;  Li, Zhendong;  Feng, Jiao   |  收藏  |   Reinforcement Learning in Process Industries: Review and Perspective 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300 作者:  Oguzhan Dogru;  Junyao Xie;  Om Prakash;  Ranjith Chiplunkar;  Jansen Soesanto   |  收藏  |   Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995 作者:  Tao Wang;  Qiming Chen;  Xun Lang;  Lei Xie;  Peng Li   |  收藏  |   Interpretable machine learning algorithms to predict leaf senescence date of deciduous trees 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 340, 页码: 109623 作者:  Gao, Chengxi;  Wang, Huanjiong;  Ge, Quansheng   |  收藏  |   Towards travel recommendation interpretability: Disentangling tourist decision-making process via knowledge graph 期刊论文  OAI收割 INFORMATION PROCESSING & MANAGEMENT, 2023, 卷号: 60, 期号: 4, 页码: 103369 作者:  Gao, Jialiang;  Peng, Peng;  Lu, Feng;  Claramunt, Christophe;  Xu, Yang   |  收藏  |