Automated Meal Analysis and Realtime Dietary Recommender System: Comparative Analysis of Machine Learning Models for Benchmarking Performance and Innovation While Utilizing State-of-the-Art Algorithms for Caloric Content Recognition of Food for Alimentary Guidance in Support of Metabolic Disease Prevention and Management and of Promoting Overall Mindfulness of Fitness and Wellbeing
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| Veröffentlicht in: | ProQuest Dissertations and Theses (2025) |
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