Work

Forecasting Lake Chad’s Water Levels: Harnessing Transformer Model for Accurate Predictions

Year: 2025

Type: conference-paper

Source: International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

DOI: 10.1109/acdsa65407.2025.11165838

Authors: Idriss Oumar Adam, Daouda Ahmat Mahamat

Institution: University of N'Djamena

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

OpenAlex ID: W4414459208

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Cites: 30

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