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ETHNOS_APP

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Mona Soliman

Dados Biográficos

ID7565540
NOMEMona Soliman
PRENOMESMona
SOBRENOMESoliman
ASSINATURASOLIMAN M
AFILIAÇÕESCairo University
ORCID0000-0003-0033-7896
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2023
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H0
  • An optimized explainable artificial intelligence approach for sustainable clean water

    Open Access•Dalia Ezzat, Mona Soliman et al.•ARTICLE•Environment Development and…•2023

    Water, sanitation, and hygiene are essential components of the 2030 agenda for sustainable development. Goal 6 is dedicated to guarantee all societies have access to water and sanitation. Water quality (WQ) assessment is crucial to ensure the availability of clean water. This paper presents an approach called AHA–XDNN for predicting WQ. The proposed approach is based on three pillars to predict WQ with high accuracy and confidence, namely, deep n…

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  • An optimized explainable artificial intelligence approach for sustainable clean water

    Open Access•Dalia Ezzat, Mona Soliman et al.•ARTICLE•Environment Development and…•2023

    Water, sanitation, and hygiene are essential components of the 2030 agenda for sustainable development. Goal 6 is dedicated to guarantee all societies have access to water and sanitation. Water quality (WQ) assessment is crucial to ensure the availability of clean water. This paper presents an approach called AHA–XDNN for predicting WQ. The proposed approach is based on three pillars to predict WQ with high accuracy and confidence, namely, deep n…

Artificial Intelligence (1 obras) · Artificial neural network (1 obras) · Computer Science (1 obras) · Data mining (1 obras) · Hydrological Forecasting Using AI (1 obras) · Machine learning (1 obras) · Preprocessor (1 obras) · Water Quality Monitoring Technologies (1 obras) · Water resources management and optimization (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae