Machine learning-based modeling of surface water temperature dynamics in arctic lakes

被引：1
|
作者：
Kim, Hyung Il [1 ,2 ]
Kim, Dongkyun [2 ]
Salamattalab, Mohammad Milad [3 ]
Mahdian, Mehran [3 ]
Bateni, Sayed M. [4 ,7 ]
Noori, Roohollah [5 ,6 ]
机构：
[1] DL E & amp,C, Civil Business Division, Donuimun, D Tower, 134 Tongil-Ro, Jongno-Gu, Seoul, Korea, Republic of
[2] Department of Civil and Environmental Engineering, Hongik University, Mapo-Gu, Seoul, Korea, Republic of
[3] School of Civil Engineering, Iran University of Science and Technology, Tehran, Narmak,1684613114, Iran
[4] Department of Civil, Environmental and Construction Engineering, and Water Resources Research Center, University of Hawaii at Manoa, Honolulu,HI, United States
[5] Graduate Faculty of Environment, University of Tehran, Tehran,1417853111, Iran
[6] Faculty of Governance, University of Tehran, Tehran,1439814151, Iran
[7] UNESCO-UNISA Africa Chair in Nanoscience and Nanotechnology, College of Graduate Studies, University of South Africa, Muckleneuk Ridge, Pretoria,392, South Africa
来源：
Environmental Science and Pollution Research | 2024年 / 31卷 / 49期
关键词：
Compendex;
D O I：
10.1007/s11356-024-35173-x
中图分类号：
学科分类号：
摘要：
Long short-term memory
引用
收藏
页码：59642 / 59655
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