Dalia Ezzat
Datos Biográficos
| ID | 7565539 |
|---|---|
| NOMBRE | Dalia Ezzat |
| NOMBRES | Dalia |
| APELLIDO | Ezzat |
| FIRMA | EZZAT D |
| AFILIACIONES | Cairo University |
| ORCID | 0000-0002-6792-5513 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 1 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2023 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 0 |
An optimized explainable artificial intelligence approach for sustainable clean water
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…
Sin obras prominentes en esta página.
An optimized explainable artificial intelligence approach for sustainable clean water
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)