A novel machine learning-based framework for the water quality parameters prediction using hybrid long short-term memory and locally weighted scatterplot smoothing methods

A. Dodig; E. Ricci; G. Kvaščev; M. Stojkovic

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Title:	A novel machine learning-based framework for the water quality parameters prediction using hybrid long short-term memory and locally weighted scatterplot smoothing methods
Authors:	A. Dodig; E. Ricci; G. Kvaščev ; M. Stojkovic
Issue Date:	2024
Publication:	JOURNAL OF HYDROINFORMATICS
ISSN:	1464-7141 Journal of Hydroinformatics Search Idenfier
Type:	Article
Collation:	str. 1-21
DOI:	10.2166/hydro.2024.273
Scopus-ID:	2-s2.0-85195052168
URI:	https://enauka.gov.rs/handle/123456789/906076 http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/709558 https://iwaponline.com/jh/article/doi/10.2166/hydro.2024.273/101629/A-novel-machine-learning-based-framework-for-the
M-category:	22M22

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