Work

Quantifying Irrigation Water Demand through Optimized Daily Vapor Pressure Deficit Forecasting Using LSTM and Metaheuristic Algorithms

Year: 2025

Type: article

Source: Journal of Computing in Civil Engineering

DOI: 10.1061/jccee5.cpeng-7139

Author: Abdullah A. Alsumaiei

Institution: Kuwait University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Zero hunger, Clean water and sanitation

Open Access status: closed

OpenAlex ID: W4416691962

FWCI: 2.333

Cites: 35

Cited by: 8

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