Dépôt institutionnel de l'universite Freres Mentouri Constantine 1
Development of a User-Friendly AI Platform for Modeling Eco Friendly Dye Removal Processes
JavaScript is disabled for your browser. Some features of this site may not work without it.
| dc.contributor.author | Hebboul, Amel | |
| dc.date.accessioned | 2025-05-26T09:22:30Z | |
| dc.date.available | 2025-05-26T09:22:30Z | |
| dc.date.issued | 2024-10-25 | |
| dc.identifier.issn | issn | |
| dc.identifier.uri | http://depot.umc.edu.dz/handle/123456789/14644 | |
| dc.description.abstract | Artificial intelligence (AI) has revolutionized various fields, including water treatment and desalination, by improving efficiency and addressing water pollution and scarcity. AI techniques optimize chemical usage, reduce costs, and enhance process solutions. However, coding complexity in languages like Python or MATLAB poses challenges for researchers. This paper introduces an AI model platform with a user-friendly interface for process modeling, demonstrated through the removal of Malachite Green dye using sunflower seed shells as an eco-friendly adsorbent. | fr_FR |
| dc.language.iso | en | fr_FR |
| dc.publisher | Université Frères Mentouri - Constantine 1 | fr_FR |
| dc.title | Development of a User-Friendly AI Platform for Modeling Eco Friendly Dye Removal Processes | fr_FR |
| dc.type | Presentation | fr_FR |
