A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques-Reference-Cited by-同舟云学术

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A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques

Published:2019 Issue: Volume:7 Page:2643-2652
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yunus Raza^ORCID,Arif Omar,Afzal Hammad^ORCID,Amjad Muhammad Faisal,Abbas Haider,Bokhari Hira Noor,Haider Syeda Tazeen,Zafar Nauman,Nawaz Raheel

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08590712.pdf?arnumber=8590712

Cited by 70 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Do we accurately measure what we consume?;Environmental Research Letters;2024-07-09

2. Global–local feature learning for fine-grained food classification based on Swin Transformer;Engineering Applications of Artificial Intelligence;2024-07

3. Ethical Practices for Collecting Ground-Truth Food Datasets: A Systematic Review;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

4. GCAM: Gaussian and causal-attention model of food fine-grained recognition;Signal, Image and Video Processing;2024-06-21

5. Computer vision and deep learning-based approaches for detection of food nutrients/nutrition: New insights and advances;Trends in Food Science & Technology;2024-04

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