中国科学院重庆绿色智能技术研究院机构知识库

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	Improved Deep Learning Predictions for Chlorophyll Fluorescence Based on Decomposition Algorithms: The Importance of Data Preprocessing 期刊论文 WATER, 2023, 卷号: 15, 期号: 23, 页码: 19 作者:  Wang, Lan;  Xie, Mingjiang;  Pan, Min;  He, Feng;  Yang, Bing;  Gong, Zhigang;  Wu, Xuke;  Shang, Mingsheng;  Shan, Kun 收藏  |  浏览/下载：200/0  |  提交时间：2024/01/17 chlorophyll fluorescence  deep learning  online monitoring  time-series decomposition  Dianchi Lake
	Combined Physical Process and Deep Learning for Daily Water Level Simulations across Multiple Sites in the Three Gorges Reservoir, China 期刊论文 WATER, 2023, 卷号: 15, 期号: 18, 页码: 16 作者:  Xie, Mingjiang;  Shan, Kun;  Zeng, Sidong;  Wang, Lan;  Gong, Zhigang;  Wu, Xuke;  Yang, Bing;  Shang, Mingsheng 收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25 water level prediction  Three Gorges Reservoir  deep learning  hybrid model
	Temporal prediction of algal parameters in Three Gorges Reservoir based on highly time-resolved monitoring and long short-term memory network 期刊论文 JOURNAL OF HYDROLOGY, 2022, 卷号: 605, 页码: 12 作者:  Shan, Kun;  Ouyang, Tian;  Wang, Xiaoxiao;  Yang, Hong;  Zhou, Botian;  Wu, Zhongxing;  Shang, Mingsheng 收藏  |  浏览/下载：51/0  |  提交时间：2022/08/22 Harmful algal bloom  Real-time monitoring  Long short-term memory network  Microcystin  Three Gorges Reservoir
	Water eutrophication assessment based on rough set and multidimensional cloud model 期刊论文 CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2017, 卷号: 164, 页码: 103-112 作者:  Yan, Huyong;  Wu, Di;  Huang, Yu;  Wang, Guoyin;  Shang, Mingsheng;  Xu, Jianjun;  Shi, Xiaoyu;  Shan, Kun;  Zhou, Botian;  Zhao, Yufei Adobe PDF(2910Kb)  |  收藏  |  浏览/下载：115/0  |  提交时间：2018/03/05 Eutrophication  Rough set  Multidimensional cloud model