Your search

Return to list of results
Theme

Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review

RIS

Recommended format for most reference management software

BibTeX

Recommended format for BibTeX-specific software

Open in Zotero
View on zotero.org
Resource type
Book Section
Authors/contributors
Title
Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review
Book Title
Engineering for Sustainable Future
Volume
101
Place
Cham
Publisher
Springer International Publishing
Date
2020
Pages
52-62
Language
en
ISBN
978-3-030-36840-1 978-3-030-36841-8
URL
http://link.springer.com/10.1007/978-3-030-36841-8_5
Accessed
24/02/2024, 11:09
Library Catalogue
DOI.org (Crossref)
Extra
Series Title: Lecture Notes in Networks and Systems DOI: 10.1007/978-3-030-36841-8_5
Citation
Ardabili, S., Mosavi, A., Dehghani, M., & Várkonyi-Kóczy, A. R. (2020). Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review. In A. R. Várkonyi-Kóczy (Ed.), Engineering for Sustainable Future (Vol. 101, pp. 52–62). Springer International Publishing. https://doi.org/10.1007/978-3-030-36841-8_5
Theme
Link to this record
https://docs.opendeved.net/lib/P5CI2FYI