| An FPGA implementation of convolutional spiking neural networks for radioisotope identification X Huang, E Jones, S Zhang, S Xie, S Furber, Y Goulermas, E Marsden, ... 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 11 | 2021 |
| Spiking neural network based low-power radioisotope identification using fpga X Huang, E Jones, S Zhang, S Xie, S Furber, Y Goulermas, E Marsden, ... 2020 27th IEEE International Conference on Electronics, Circuits and Systems …, 2020 | 7 | 2020 |
| Event-based Signal Processing for Radioisotope Identification X Huang, E Jones, S Zhang, S Furber, Y Goulermas, E Marsden, I Baistow, ... 2020 6th International Conference on Event-Based Control, Communication, and …, 2020 | 3 | 2020 |
| Isotope identification using artificial neural network ensembles and bin-ratios S Zhang, E Marsden, JY Goulermas IEEE Transactions on Nuclear Science 69 (6), 1194-1202, 2022 | 2 | 2022 |
| FPGA-based fast bin-ratio spiking ensemble network for radioisotope identification S Xie, E Jones, S Zhang, E Marsden, I Baistow, S Furber, S Mitra, ... Neural Networks 176, 106332, 2024 | | 2024 |
| An Efficient and Effective Machine Learning Framework for Compositional Data: A Study in Radioisotope Identification S Zhang University of Liverpool, 2024 | | 2024 |
