Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 05:31:23am America, Santiago
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Daily Overview |
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21A: Computer Science Virtual location: VIRTUAL: Agora Meetings | |
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9:16am - 9:24am
Computational Models for Nutritional Diagnosis and food recognition: A systematic review UNIVERSIDAD TECNOLÓGICA DEL PERÚ S.A.C This study evaluates the effectiveness of computational models in improving nutritional diagnosis and food recognition through the analysis of image-based and numerical data. The research focuses on the performance of Deep Learning (DL), Machine Learning (ML), and hybrid DL + ML approaches, highlighting their role in nutritional evaluation, quality classification, and food identification. Results show that CNN – Based DL models achieve the highest accuracy when processing large and complex datasets, outperforming others architectures in tasks such as nutrient estimation, food quality assessment, and disease detection in crops and food products. Hybrid Ensemble – CNN models demonstrate superior robustness, offering more stable results and enhanced diagnostic performance across multiple applications. | |