Using feature engineering and machine learning in FAO reference evapotranspiration estimation

Number of the records: 1

Title	Using feature engineering and machine learning in FAO reference evapotranspiration estimation
Author	Považanová Barbora
Co-authors	Čistý M.
	Bajtek Zbyněk SAVHYDRO - Ústav hydrológie SAV ^ORCID

Source document	Journal of Hydrology and Hydromechanics. Vol. 71, no. 4 (2023), p. 425-438
Language	eng - English
Country	SK - Slovak Republic
Document kind	rozpis článkov z periodík (rbx)
Category	ADDA - Scientific papers in domestic journals registered in Current Contents Connect with IF (impacted)
Category of document (from 2022)	V3 - Vedecký výstup publikačnej činnosti z časopisu
Type of document	článok
Year	2023
Registered in	WOS
Registered in	SCOPUS
DOI	10.2478/johh-2023-0032

article

	File name	Access	Size	Downloaded	Type	License
	Using feature engineering .pdf	available	2.8 MB	7	Author's preprint

rok	CC	IF	IF Q (best)	JCR Av Jour IF Perc	SJR	SJR Q (best)	CiteScore
	A

rok vydania	rok metriky	IF	IF Q (best)	SJR	SJR Q (best)
2023	2022	1.9	Q4	0.51	Q2

Number of the records: 1