Work

Forecasting and modeling on average rainwater and vapor pressure in Chelyabinsk Russia using deep learning models

Year: 2023

Type: conference-paper

Source: IET conference proceedings.

DOI: 10.1049/icp.2023.0582

Authors: M. Abotaleb, T. Makarovskikh, A. Ali Subhi, H. Alkattan, A.O. Adebayo

Institutions: South Ural State University, University of Diyala, Lagos State University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4367017406

FWCI: 3.996

Cites:

Cited by: 7

Related to: 10