Toward the development of deep learning analyses for snow avalanche releases in mountain regions-Reference-Cited by-同舟云学术

Toward the development of deep learning analyses for snow avalanche releases in mountain regions

Published:2021-11-22 Issue: Volume: Page:1-26
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Chen Yunzhi¹,Chen Wei¹²^ORCID,Rahmati Omid³^ORCID,Falah Fatemeh⁴,Kulakowski Dominik⁵,Lee Saro⁶⁷^ORCID,Rezaie Fatemeh⁶⁷^ORCID,Panahi Mahdi⁸,Bahmani Aref⁹,Darabi Hamid¹⁰,Torabi Haghighi Ali¹⁰^ORCID,Bian Huiyuan¹

Affiliation:

1. College of Geology and Environment, Xi’an University of Science and Technology, Xi’an, China

2. Ministry of Natural Resources, Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Xi’an, China

3. Soil Conservation and Watershed Management Research Department, Kurdistan Agricultural and Natural Resources Research and Education Center, AREEO, Sanandaj, Iran

4. Department of Watershed Management, Faculty of Natural Resources and Agriculture, Lorestan University, Lorestan, Iran

5. Graduate School of Geography, Clark University, Worcester, MA, USA

6. Geoscience Platform Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Republic of Korea

7. Department of Geophysical Exploration, Korea University of Science and Technology, Daejeon, Republic of Korea

8. Division of Science Education, Kangwon National University, College of Education, Gangwon do, South Korea

9. Natural Resources and Watershed Management Organization, Kurdistan Province, Sanandaj, Iran

10. Water, Energy and Environmental Engineering Research unit, University of Oulu, Oulu, Finland

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1986578

Reference112 articles.

1. Spatial modeling of snow avalanche susceptibility using hybrid and ensemble machine learning techniques

2. Big data analysis for brain tumor detection: Deep convolutional neural networks

3. GIS-Based snow avalanche hazard mapping: Bayburt-Aşağı Dere catchment case

4. Medical disease prediction using Grey Wolf optimization and auto encoder based recurrent neural network

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