Work

Exploring the Efficacy of Artificial Neural Networks in Climate Prediction: Societal and Environmental Implications in Tungurahua, Ecuador

Year: 2024

Type: conference-paper

Source: IEEE International Symposium on Technology and Society (ISTAS)

DOI: 10.1109/istas61960.2024.10732149

Authors: Castelo Cabay Marco Javier, Armendariz Rodríguez Vilma Carolina, Merino Villa Edgar Francisco, López Carrillo David Patricio, Chandi Enriquez Alcibar Geovanny, Quintanilla Guerrero Gabriela María, Villa López René Omar, Dávalos Castelo Henry Francisco

Institutions: Universidad Americana de Europa, Universidad Nacional de Chimborazo

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Zero hunger, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4403864530

FWCI: 1.103

Cites: 16

Cited by: 1

Related to: 10