TIM-8122 V1

Wu, Z., Sun, J., Zhang, Y., Wei, Z., & Chanussot, J. (2021). Recent developments in parallel and distributed computing for remotely sensed big data processing. Proceedings of the IEEE, Proc. IEEE, 109(8), 1282–1305. https://doi.org/10.1109/JPROC.2021.3087029
The author discusses the importance of parallel and distributed computing in the cloud for processing sensing data.

Du, Q., Tang, B., Xie, W., & Li, W. (2021). Parallel and distributed computing for anomaly detection from hyperspectral remote sensing imagery. Proceedings of the IEEE, Proc. IEEE, 109(8), 1306–1319. https://doi.org/10.1109/JPROC.2021.3076455
The paper addresses the challenges of hyperspectral imaging processing and how HPC can assist with this challenge.

Hafiz Muhammad Fahad Noman, Effariza Hanafi, Kamarul Ariffin Noordin, Kaharudin Dimyati, Mhd Nour Hindia, Atef Abdrabou, & Faizan Qamar. (2023). Machine learning empowered emerging wireless networks in 6G: Recent advancements, challenges and future trends. IEEE Access, 11, 83017–83051. https://doi.org/10.1109/ACCESS.2023.3302250
The authors discuss the impact of 6G technology on tackling current and future challenges.

Heide Faeskorn-Woyke, Jörg Stork, Andreas Fischbach, Andreas Bunte, Natalia Moriz, Thomas Bartz-Beielstein, & Jan Strohschein. (2020). CAAI—a cognitive architecture to introduce artificial intelligence in cyber-physical production systems. The International Journal of Advanced Manufacturing Technology, 111, 609–626.
In this paper, the authors introduce you to artificial intelligence (AI) and the uses in cyber-physical solutions.

Yao Deng, Tiehua Zhang, Guannan Lou, Xi Zheng, Qing-Long Han, & Jiong Jin. (2021). Deep learning-based autonomous driving systems: A survey of attacks and defenses. IEEE Transactions on Industrial Informatics, 17, 7897–7912.
Self-driving cars seem to be everywhere; here, the author presents how deep learning is assisting researchers to create better defenses against attacks on autonomous vehicles.