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Enhancing groundwater forecasting through a spatio-temporal feature mixer deep learning model

Year: 2026

Type: article

Source: Engineering Applications of Artificial Intelligence

DOI: 10.1016/j.engappai.2026.115429

Authors: Sumriti Ranjan Patra, Hone-Jay Chu

Institution: National Cheng Kung University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Climate action

Open Access status: closed

Funder: National Science and Technology Council

OpenAlex ID: W7165355304

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Cites: 72

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