Work

Physics-informed neural control for mitigating flood effects: A case study based on a simulated hydrographic basin

Year: 2025

Type: article

Source: Applied Soft Computing

DOI: 10.1016/j.asoc.2025.114061

Authors: Luis Fernando Nazari, Eduardo Camponogara, Laio Oriel Seman

Institutions: Instituto Federal Catarinense, Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina, Universidade Federal de Santa Catarina

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Industry, innovation and infrastructure

Open Access status: closed

Funder: Conselho Nacional de Desenvolvimento Científico e Tecnológico

Awards: G2845148050, G6651078305

OpenAlex ID: W4415436712

FWCI: 0.69

Cites: 58

Cited by: 3

Related to: 10