| Federated machine learning in vehicular networks: A summary of recent applications K Tan, D Bremner, J Le Kernec, M Imran 2020 international conference on UK-China emerging technologies (UCET), 1-4, 2020 | 42 | 2020 |
| Machine learning in vehicular networking: An overview K Tan, D Bremner, J Le Kernec, L Zhang, M Imran Digital Communications and Networks 8 (1), 18-24, 2022 | 37 | 2022 |
| Intelligent handover algorithm for vehicle-to-network communications with double-deep Q-learning K Tan, D Bremner, J Le Kernec, Y Sambo, L Zhang, MA Imran IEEE Transactions on Vehicular Technology 71 (7), 7848-7862, 2022 | 19 | 2022 |
| Unified push recovery fundamentals: Inspiration from human study C McGreavy, K Yuan, D Gordon, K Tan, WJ Wolfslag, S Vijayakumar, Z Li 2020 IEEE International Conference on Robotics and Automation (ICRA), 10876 …, 2020 | 11 | 2020 |
| Graph neural network-based cell switching for energy optimization in ultra-dense heterogeneous networks K Tan, D Bremner, J Le Kernec, Y Sambo, L Zhang, MA Imran Scientific Reports 12 (1), 21581, 2022 | 5 | 2022 |
| Clustering algorithm in vehicular ad-hoc networks: A brief summary K Tan, J Le Kernec, M Imran, D Bremner 2019 UK/China Emerging Technologies (UCET), 1-5, 2019 | 4 | 2019 |
| Contextual beamforming: Exploiting location and AI for enhanced wireless telecommunication performance J Kaur, S Bhatti, K Tan, OR Popoola, MA Imran, R Ghannam, QH Abbasi, ... APL Machine Learning 2 (1), 2024 | 2 | 2024 |
| Fingerprinting-based Indoor Localization in a 3x3 Meter Grid Using OFDM Signals at Sub-6 GHz J Kaur, K Tan, M Khan, O Popoola, MA Imran, QH Abbasi, HT Abbas Authorea Preprints, 2024 | | 2024 |
| Adaptive vehicular networking with Deep Learning K Tan University of Glasgow, 2023 | | 2023 |
