| A 1d convolutional neural network for heartbeat classification from single lead ecg L Xiaolin, B Cardiff, D John 2020 27th IEEE International Conference on Electronics, Circuits and Systems …, 2020 | 34 | 2020 |
| Multistage pruning of CNN based ECG classifiers for edge devices L Xiaolin, RC Panicker, B Cardiff, D John 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 25 | 2021 |
| Binary ecg classification using explainable boosting machines for iot edge devices L Xiaolin, W Qingyuan, RC Panicker, B Cardiff, D John 2022 29th IEEE International Conference on Electronics, Circuits and Systems …, 2022 | 10 | 2022 |
| Classification of ecg based on hybrid features using cnns for wearable applications L Xiaolin, F Xiang, RC Panicker, B Cardiff, D John 2023 IEEE 5th International Conference on Artificial Intelligence Circuits …, 2023 | 9 | 2023 |
| Atrial fibrillation detection using weight-pruned, log-quantised convolutional neural networks XQ Chang, AF Chew, BCM Choong, S Wang, R Han, W He, L Xiaolin, ... 2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS), 1-4, 2022 | 4 | 2022 |
| Experimental confirmation of wandering spurs in a commercial fractional-N frequency synthesizer with a MASH 1-1-1 divider controller D Mai, X Li, MP Kennedy 2019 30th Irish Signals and Systems Conference (ISSC), 1-6, 2019 | 4 | 2019 |
| Decentralised biomedical signal classification using early exits L Xiaolin, H Vandierendonck, DS Nikolopoulos, B Ji, B Cardiff, D John 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS), 1-2, 2023 | 2 | 2023 |
| A Two-Stage ECG Classifier for Decentralized Inferencing Across Edge-Cloud Continuum L Xiaolin, B Cardiff, D John IEEE Sensors Journal, 2024 | | 2024 |
| Convolution theorems for the linear canonical transforms JJ Healy, X Li, M Wan, L Zhao Holography: Advances and Modern Trends VI 11030, 296-304, 2019 | | 2019 |
Deepu JohnUniversity College DublinEmail verificata su ucd.ie