| An overview of neuromorphic computing for artificial intelligence enabled hardware-based hopfield neural network Z Yu, AM Abdulghani, A Zahid, H Heidari, MA Imran, QH Abbasi IEEE Access 8, 67085-67099, 2020 | 52 | 2020 |
| Energy and performance trade-off optimization in heterogeneous computing via reinforcement learning Z Yu, P Machado, A Zahid, AM Abdulghani, K Dashtipour, H Heidari, ... Electronics 9 (11), 1812, 2020 | 33 | 2020 |
| An overview of emergency communication networks Q Wang, W Li, Z Yu, Q Abbasi, M Imran, S Ansari, Y Sambo, L Wu, Q Li, ... Remote Sensing 15 (6), 1595, 2023 | 15 | 2023 |
| Hardware-based hopfield neuromorphic computing for fall detection Z Yu, A Zahid, S Ansari, H Abbas, AM Abdulghani, H Heidari, MA Imran, ... Sensors 20 (24), 7226, 2020 | 15 | 2020 |
| A radar-based human activity recognition using a novel 3-D point cloud classifier Z Yu, A Taha, W Taylor, A Zahid, K Rajab, H Heidari, MA Imran, ... IEEE Sensors Journal 22 (19), 18218-18227, 2022 | 8 | 2022 |
| Towards a scalable hardware/software co-design platform for real-time pedestrian tracking based on a ZYNQ-7000 device Z Yu, S Yang, I Sillitoe, K Buckley 2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia …, 2017 | 7 | 2017 |
| An intelligent implementation of multi-sensing data fusion with neuromorphic computing for human activity recognition Z Yu, A Zahid, A Taha, W Taylor, J Le Kernec, H Heidari, MA Imran, ... IEEE Internet of Things Journal 10 (2), 1124-1133, 2022 | 6 | 2022 |
| A highly integrated hardware/software co-design and co-verification platform S Yang, Z Yu IEEE Design & Test 36 (1), 23-30, 2018 | 6 | 2018 |
| IMU sensing–based Hopfield neuromorphic computing for human activity recognition Z Yu, A Zahid, S Ansari, H Abbas, H Heidari, MA Imran, QH Abbasi Frontiers in Communications and Networks 2, 820248, 2022 | 3 | 2022 |
| Multi-sensing data fusion for human activity recognition based on neuromorphic computing Z Yu, A Zahid, W Taylor, H Heidari, MA Imran, QH Abbasi 2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), 64-65, 2021 | 2 | 2021 |
| A low computational approach for assistive esophageal adenocarcinoma and colorectal cancer detection Z Yu, S Yang, K Zhou, A Aggoun Advances in Computational Intelligence Systems: Contributions Presented at …, 2019 | 2 | 2019 |
| BaseFormer: Transformer based Base-Caller for Fast and Accurate Next Generation Sequencing S Li, Z Guo, A Shen, Z Yu, W Mao, S Luo, H Yu 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 1 | 2022 |
| Low-power neuromorphic sensor fusion for elderly care Z Yu University of Glasgow, 2022 | 1 | 2022 |
| Data Fusion for Human Activity Recognition Based on RF Sensing and IMU Sensor Z Yu, A Zahid, W Taylor, H Abbas, H Heidari, MA Imran, QH Abbasi EAI International Conference on Body Area Networks, 3-14, 2021 | 1 | 2021 |
| Multi-Objective Optimization Approach Using Deep Reinforcement Learning for Energy Efficiency in Heterogeneous Computing System Z Yu, C Zhang, P Machado, A Zahid, T Fernandez-Hart, MA Imran, ... arXiv preprint arXiv:2302.00168, 2023 | | 2023 |
| Using the Tulipp Platform to Diagnose Cancer Z Yu Towards Ubiquitous Low-power Image Processing Platforms, 193-198, 2021 | | 2021 |
| Sensor Systems Integration A Radar-Based Human Activity Recognition Using a Novel 3-D Point Cloud Classifier Z Yu, A Taha, W Taylor, A Zahid, K Rajab, H Heidari, MA Imran, ... | | |
Qammer H. Abbasi, CEng, SMIEEE, F...Professor, University of GlasgowVerified email at glasgow.ac.uk
