- Suren Jayasuriya, Odrika Iqbal, Venkatesh Kodukula, Victor Isaac Torres Muro, Robert LiKamWa, Andreas Spanias. Software-Defined Imaging: A Survey. Proceedings of the IEEE, 111(5):445-464, May 2023.
- Yuanzheng Li, Chaofan Yu, Mohammad Shahidehpour, Tao Yang 0003, Zhigang Zeng, Tianyou Chai. Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects. Proceedings of the IEEE, 111(9):1055-1096, September 2023.
- Waleed Hilal, S. Andrew Gadsden, John Yawney. Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances. Proceedings of the IEEE, 111(6):575-622, June 2023.
- Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye. Object Detection in 20 Years: A Survey. Proceedings of the IEEE, 111(3):257-276, March 2023.
- Maojiao Ye, Qing-Long Han, Lei Ding 0005, Shengyuan Xu. Distributed Nash Equilibrium Seeking in Games With Partial Decision Information: A Survey. Proceedings of the IEEE, 111(2):140-157, February 2023.
- Kai Strunz, Khaled Almunem, Christoph Wulkow, Maren Kuschke, Marta Valescudero, Xavier Guillaud. Enabling 100% Renewable Power Systems Through Power Electronic Grid-Forming Converter and Control: System Integration for Security, Stability, and Application to Europe. Proceedings of the IEEE, 111(7):891-915, July 2023.
- Christos Kyrkou, Panayiotis Kolios, Theocharis Theocharides, Marios M. Polycarpou. Machine Learning for Emergency Management: A Survey and Future Outlook. Proceedings of the IEEE, 111(1):19-41, 2023.
- Xiaofei Wang, Fangxing Li 0001, Linquan Bai, Xin Fang. DLMP of Competitive Markets in Active Distribution Networks: Models, Solutions, Applications, and Visions. Proceedings of the IEEE, 111(7):725-743, July 2023.
- Yi-Wen Wu, Shaker Alkaraki, Shi-yang Tang, Yi Wang 0020, James R. Kelly. Circuits and Antennas Incorporating Gallium-Based Liquid Metal. Proceedings of the IEEE, 111(8):955-977, August 2023.
- Jason K. Eshraghian, Max Ward 0001, Emre O. Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu. Training Spiking Neural Networks Using Lessons From Deep Learning. Proceedings of the IEEE, 111(9):1016-1054, September 2023.