Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80795
PIRA download icon_1.1View/Download Full Text
Title: Integration of advanced soft computing techniques in hydrological predictions
Authors: Chau, KW 
Issue Date: 2019
Source: Atmosphere, Feb. 2019, v. 10, no. 2, 101, p. 1-2
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Atmosphere 
ISSN: 2073-4433
DOI: 10.3390/atmos10020101
Rights: © 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Chau, K.-W. Integration of Advanced Soft Computing Techniques in Hydrological Predictions. Atmosphere 2019, 10, 101, 2 pages is available at https://dx.doi.org/10.3390/atmos10020101
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Chau_Advanced_Computing_Predictions.pdf148.37 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

132
Last Week
1
Last month
Citations as of Apr 21, 2024

Downloads

76
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

5
Citations as of Apr 26, 2024

WEB OF SCIENCETM
Citations

4
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


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