Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A Novel Convolution Neural Network Model to Identify the Critical Hydrological/Atmospheric Impact Factors on Severe Drought EventA Novel Convolution Neural Network Model to Identify the Critical Hydrological/Atmospheric Impact Factors on Severe Drought Event

Alternative Title
A Novel Convolution Neural Network Model to Identify the Critical Hydrological/Atmospheric Impact Factors on Severe Drought Event
Authors
Donghwi Jung
Issue Date
16-Jul-2020
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/6205
Conference Name
Proceedings
Place
터키
Conference Date
2020-07-16 ~ 2020-07-17
Conference Name
6th International Conference on Harmony Search, Soft Computing and Applications (ICHSA 2020)
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Civil, Environmental and Architectural Engineering > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jung, Dong hwi photo

Jung, Dong hwi
College of Engineering (School of Civil, Environmental and Architectural Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE