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

页码：59642 / 59655

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