Food Computing Research Opportunities Using AI and ML-Reference-Cited by-同舟云学术

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Food Computing Research Opportunities Using AI and ML

Published:2023 Issue: Volume: Page:1-23
ISSN:
Container-title:Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices
language:
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Author:

Upadhyay Shuchi,Goel Gaurav

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-22959-6_1

Reference36 articles.

1. Bolaños, M., Ferrà, A., & Radeva, P. (2017). Food ingredients recognition through multi-label learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10590 LNCS, 394–402. https://doi.org/10.1007/978-3-319-70742-6_37

2. Knez, S., & Šajn, L. (2020). Food object recognition using a mobile device: Evaluation of currently implemented systems. Trends in Food Science and Technology, 99(December 2019), 460–471. https://doi.org/10.1016/j.tifs.2020.03.017

3. Chen, C.-H., & Toumazou, C. (2019). Personalized expert recommendation systems for optimized nutrition (Vol. 1998). Elsevier Inc. https://doi.org/10.1016/b978-0-12-816403-7.00011-8

4. Puri, M., Zhu, Z., Yu, Q., Divakaran, A., & Sawhney, H. (2009). Recognition and volume estimation of food intake using a mobile device. 2009 Workshop on Applications of Computer Vision, WACV 2009. https://doi.org/10.1109/WACV.2009.5403087

5. Verma, P., Tiwari, R., Hong, W.-C., Upadhyay, S., & Yeh, Y.-H. (2022). FETCH: A deep learning-based fog computing and IoT integrated environment for healthcare monitoring and diagnosis. IEEE Access, 10, 12548–12563.

Cited by 1 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. Visual Recognition of Food Ingredients: A Systematic Review;Computer Vision - Annual Volume 2023 [Working Title];2023-12-18

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