Apprentissage des réseaux de neurones profonds sur des données multimodales
| dc.contributor.author | CHELABI, Hiba | |
| dc.date.accessioned | 2026-04-07T08:22:48Z | |
| dc.date.available | 2026-04-07T08:22:48Z | |
| dc.date.issued | 2025-12-02 | |
| dc.description.abstract | Our perception of the world is most of the time multi-modal. In other words,natural intelligence is not limited to just a single modality. Our brain is able to process multiple types of information relevant to a specific task simultaneously,and the same applies to artificial intelligence. Overall, the integration of multi-modality holds great promise for advancing the capabilities of artificial. | |
| dc.format | ||
| dc.identifier.uri | https://dspace.univ-annaba.dz//handle/123456789/4649 | |
| dc.language.iso | en | |
| dc.publisher | Université Badji Mokhtar Annaba | |
| dc.subject | Multi-modality; deep learning; Short-term Load Forecasting; Artificial Neural Networks; Multi-modal Fusion | |
| dc.title | Apprentissage des réseaux de neurones profonds sur des données multimodales | |
| dc.type | Thesis |
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