Energy Composition Assessment of Food Images Using Deep Learning Approaches Norinov Muhammad Yunus Usubjonovich

Norinov, Muhammad Yunus, Ibragimov, Ilkhomjon, Норинов, Мухаммад Юнус, Ибрагимов, Илхомжон, Norinov, Muhammad Yunus, Ibragimov, Ilxomjon

Жамият ва инновациялар / Общество и инновации / Society and innovations · 2024-yil

Annotatsiya

This article investigates deep learning-based approaches for assessing the energy composition of food using images. Unlike traditional methods, deep learning techniques, particularly Convolutional Neural Network (CNN) models, enable the automated classification of food items and the estimation of their caloric values. The research highlights the significance of datasets and algorithms employed for food identification and volume estimation. Furthermore, the effectiveness of models used to determine energy composition is analyzed. The study underscores the potential of this approach to automate nutritional monitoring and its applications in the healthcare sector.

Maqola ma’lumotlari
MualliflarNorinov, Muhammad Yunus, Ibragimov, Ilkhomjon, Норинов, Мухаммад Юнус, Ибрагимов, Илхомжон, Norinov, Muhammad Yunus, Ibragimov, Ilxomjon
JurnalЖамият ва инновациялар / Общество и инновации / Society and innovations
NashriyotIn Science МЧЖ
ISSN2181-1415
Nashr sanasi2024-10-25
Jild5
Son10/S
Betlar356-362
TilIngliz
DOI10.47689/2181-1415-vol5-iss10/s-pp356-362
Indeksga qo‘shilgan2026-08-26

DOI: 10.47689/2181-1415-vol5-iss10/s-pp356-362 · Maqolaning asl sahifasi

Kalit so‘zlar

Chuqur o'rganish, oziq-ovqat tasvirlari, energiya tarkibini baholash, Convolutional Neural Networks (CNN), kaloriyalarni hisoblash, oziq-ovqat tasnifi, hajmni baholash, oziq-ovqat monitoringi, sog'liqni saqlash texnologiyalari, sun'iy intellekt, глубокое обучение, изображения продуктов питания, оценка энергетического состава, сверточные нейронные сети (CNN), расчет калорий, классификация продуктов, оценка объема, мониторинг питания, технологии здравоохранения, искусственный интеллект, Deep learning, food images, energy composition assessment, Convolutional Neural Networks (CNN), calorie calculation, food classification, volume estimation, nutritional monitoring, healthcare technologies, artificial intelligence

Iqtibos keltirish

APANorinov, Muhammad Yunus, Ibragimov, Ilkhomjon, Норинов, Мухаммад Юнус, Ибрагимов, Илхомжон, Norinov, Muhammad Yunus, & Ibragimov, Ilxomjon (2024). Energy Composition Assessment of Food Images Using Deep Learning Approaches Norinov Muhammad Yunus Usubjonovich. Жамият ва инновациялар / Общество и инновации / Society and innovations, 5(10/S), 356-362. https://doi.org/10.47689/2181-1415-vol5-iss10/s-pp356-362
GOST (OAK)Norinov, Muhammad Yunus va b. Energy Composition Assessment of Food Images Using Deep Learning Approaches Norinov Muhammad Yunus Usubjonovich // Жамият ва инновациялар / Общество и инновации / Society and innovations. – 2024. – T. 5, № 10/S. – P. 356-362. – DOI: 10.47689/2181-1415-vol5-iss10/s-pp356-362.
MLANorinov, Muhammad Yunus, Ibragimov, Ilkhomjon, Норинов, Мухаммад Юнус, Ибрагимов, Илхомжон, Norinov, Muhammad Yunus, and Ibragimov, Ilxomjon. “Energy Composition Assessment of Food Images Using Deep Learning Approaches Norinov Muhammad Yunus Usubjonovich.” Жамият ва инновациялар / Общество и инновации / Society and innovations, 5(10/S), 356-362, 2024. https://doi.org/10.47689/2181-1415-vol5-iss10/s-pp356-362
ChicagoNorinov, Muhammad Yunus, Ibragimov, Ilkhomjon, Норинов, Мухаммад Юнус, Ибрагимов, Илхомжон, Norinov, Muhammad Yunus, and Ibragimov, Ilxomjon. “Energy Composition Assessment of Food Images Using Deep Learning Approaches Norinov Muhammad Yunus Usubjonovich.” Жамият ва инновациялар / Общество и инновации / Society and innovations, 5(10/S), 356-362 (2024). https://doi.org/10.47689/2181-1415-vol5-iss10/s-pp356-362
HarvardNorinov, Muhammad Yunus, Ibragimov, Ilkhomjon, Норинов, Мухаммад Юнус, Ибрагимов, Илхомжон, Norinov, Muhammad Yunus, and Ibragimov, Ilxomjon (2024) ‘Energy Composition Assessment of Food Images Using Deep Learning Approaches Norinov Muhammad Yunus Usubjonovich’, Жамият ва инновациялар / Общество и инновации / Society and innovations, 5(10/S), 356-362. https://doi.org/10.47689/2181-1415-vol5-iss10/s-pp356-362
BibTeX
@article{norinovmuhammadyunus2024,
  title = {Energy Composition Assessment of Food Images Using Deep Learning Approaches Norinov Muhammad Yunus Usubjonovich},
  author = {Norinov, Muhammad Yunus and Ibragimov, Ilkhomjon and Норинов, Мухаммад Юнус and Ибрагимов, Илхомжон and Norinov, Muhammad Yunus and Ibragimov, Ilxomjon},
  journal = {Жамият ва инновациялар / Общество и инновации / Society and innovations},
  year = {2024},
  volume = {5},
  number = {10/S},
  pages = {356-362},
  doi = {10.47689/2181-1415-vol5-iss10/s-pp356-362},
  url = {https://doi.org/10.47689/2181-1415-vol5-iss10/s-pp356-362}
}

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