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Zheqi Yu
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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
472020
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
352020
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
152020
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
112023
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
82022
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
72017
A highly integrated hardware/software co-design and co-verification platform
S Yang, Z Yu
IEEE Design & Test 36 (1), 23-30, 2018
62018
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
32022
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
32022
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
22021
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
22019
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
12022
Low-power neuromorphic sensor fusion for elderly care
Z Yu
University of Glasgow, 2022
12022
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
12021
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, ...
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