Artificial Intelligence and Data Science in Food Processing Industry-Reference-Cited by-同舟云学术

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Artificial Intelligence and Data Science in Food Processing Industry

Published:2023 Issue: Volume: Page:231-244
ISSN:2522-8595
Container-title:Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance
language:
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Author:

Malik Mohit,Gahlawat Vijay Kumar,Mor Rahul S.,Agnihotri Shekhar,Panghal Anupama,Rahul Kumar,Emanuel Neela

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19711-6_11

Reference57 articles.

1. Akey, S., & Sharma R. R. (2020). Real time monitoring and fire detection using internet of things and cloud based Drones. Journal of Soft Computing Paradigm 2(3), 168–174. https://doi.org/10.36548/jscp.2020.3.004

2. Basar, A., Smys, S., & Wang, H. (2021). 5G network simulation in smart citiesusing neural network algorithm. Journal of Artificial Intelligence and Capsule Networks, 3(1), 43–52. https://doi.org/10.36548/jaicn.2021.1.004

3. Bera, S. (2021). An application of operational analytics: For predicting sales revenue of restaurant. In S. K. Das, S. P. Das, N. Dey, & A.-E. Hassanien (Eds.), Machine learning algorithms for industrial applications (Vol. 907, pp. 209–235). https://doi.org/10.1007/978-3-030-50641-4_13

4. Bhattacharyya, S. S., Maitra, D., & Das, D. (2021). Study of adoption and absorption of emerging technologies for smart supplychain management: A dynamic capabilities perspective. International Journal of Applied Logistics (IJAL), 11(2), 14–54. https://doi.org/10.4018/ijal.2021070102

5. Cao, T. D., & Truong, H. L. (2016). Analyzing and conceptualizing monitoring and analytics as a service forgrain warehouses. In Recent developments in intelligent information and database systems, studies in computational intelligence (vol. 642, pp. 161–171). https://doi.org/10.1007/978-3-319-31277-4_14

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