List of publications
- L. Nahar, N. Basnin, S. N. Hoque, F. Tasnim, M. S. Hossain, and K. Andersson, “A Hybrid Deep Learning System to Detect Face-Mask and Monitor Social Distance”, Applied Intelligence and Informatics : Second International Conference, AII 2022, Reggio Calabria, Italy, September 1–3, 2022, pp. 308–319, doi: 10.1007/978-3-031-24801-6_22
- M. Kherbache, O. Sobirov, M. Maimour, É. Rondeau, A. Benyahia, “Decentralized TSCH scheduling protocols and heterogeneous traffic: Overview and performance evaluation”, Internet of Things, 2023, 22, pp.100696, doi: 10.1016/j.iot.2023.100696
- M.S. Islam, S. N. Zisad, A.-L. Kor and M.H. Hasan, “Sustainability of Machine Learning Models: An Energy Consumption Centric Evaluation,” 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2023, pp. 1-6, doi: 10.1109/ECCE57851.2023.10101532.
- M. Kherbache, O. Sobirov, M. Maimour, É. Rondeau, A. Benyahia, “Reinforcement Learning TDMA-Based MAC Scheduling in the Industrial Internet of Things: A Survey”, 6th IFAC Symposion on Telematics Application, Vol 55(8), 2022, pp. 83-88, doi: 10.1016/j.ifacol.2022.08.014.
- W. Khan, D. De Chiara, A.-L. Kor, and M. Chinnici, “Exploratory data analysis for data center energy management“. In Proceedings of the Thirteenth ACM International Conference on Future Energy Systems (e-Energy ’22). Association for Computing Machinery, New York, NY, USA, 2022, pp. 571–580, doi: 10.1145/3538637.3539654
- M.I. Shah,, M.C. Ang, K.W. Ng and A.-L. Kor, “Using AI to generate robot disassembly planning in autonomous remanufacturing process based on slicing and CAD technologies”, 6th International Workshop on Autonomous Remanufacturing, IWAR, 2022, Online event.
- J. M. Newaj and A.-L. Kor, “Analyzing Energy Consumption of Nature-Inspired Optimization Algorithms”, Springer Green Technology, Resilience, and Sustainability, Vol 2(1), 2022, doi: 10.1007/s44173-021-00001-9
- H. Ngo Le Huy and A.-L. Kor, “Analysis and Prediction Model of Fuel Consumption and Carbon Dioxide Emissions of Light-Duty Vehicles”, Applied Sciences 12, no. 2: 803, 2022, doi: 10.3390/app12020803