Page 27 - aiot
P. 27
1. Pesapane, F., et al., Artificial intelligence as a medical device in radiology: ethical and regulatory
issues in Europe and the United States. Insights into imaging, 2018. 9: p. 745-753.
2. Jeong, Y.-S. and Y.-T. Kim, IoT data processing techniques based on machine learning optimized
for AIoT environments. Journal of Industrial Convergence, 2022. 20(3): p. 33-40.
3. Chandra, D.G., BASE analysis of NoSQL database. Future Generation Computer Systems, 2015.
52: p. 13-21.
4. Era, C.A.A., M. Rahman, and S.T. Alvi. Artificial Intelligence of Things (AIoT) Technologies, Benefits
and Applications. in 2024 4th International Conference on Emerging Smart Technologies and
Applications (eSmarTA). 2024. IEEE.
5. Guo, X., et al., Review on the application of artificial intelligence in smart homes. Smart Cities,
2019. 2(3): p. 402-420.
6. Pyykönen, P., et al. IoT for intelligent traffic system. in 2013 IEEE 9th International Conference on
Intelligent Computer Communication and Processing (ICCP). 2013. IEEE.
7. Biswas, A. and H.-C. Wang, Autonomous vehicles enabled by the integration of IoT, edge
intelligence, 5G, and blockchain. Sensors, 2023. 23(4): p. 1963.
Video 1. https://www.aparat.com/v/6o41h
Video 2. https://www.aparat.com/v/d571sht
Video 3. https://www.aparat.com/v/4sOKg
27