Perishable Products: Enhancing Delivery Time Efficiency with Big Data, AI, and IoT
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7962-2_21
Reference17 articles.
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2. Loukili Y, Lakhrissi Y, Ali SEB (2022) Geospatial Big Data Platforms: A Comprehensive Review. KN J. Cartogr. Geogr. Inf. 72:293–308. https://doi.org/10.1007/s42489-022-00121-7
3. Aboushelbaya, R., Aguacil, T., Huang, Q., Norreys, P.A. (2022). Efficient Location-Based Tracking for IoT Devices Using Compressive Sensing and Machine Learning Techniques. In: Nikeghbali, A., Pardalos, P.M., Raigorodskii, A.M., Rassias, M.T. (eds) High-Dimensional Optimization and Probability. Springer Optimization and Its Applications, vol 191. Springer, Cham. https://doi.org/10.1007/978-3-031-00832-0_12
4. Abduljabbar R, Dia H, Liyanage S, Bagloee SA (2019) Applications of Artificial Intelligence in Transport: An Overview. Sustainability 11(1):189. https://doi.org/10.3390/su11010189
5. Day, R.J., Salehi, H., Javadi, M. (2019) IoT Environmental Analyzer using Sensors and Machine Learning for Migraine Occurrence Prevention. In: Proceedings of the 18th IEEE International Conference on Machine Learning and Applications (ICMLA), Boca Raton, FL, USA, 2019, pp. 1460–1465. doi: https://doi.org/10.1109/ICMLA.2019.00239.
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