| Tinyml benchmark: Executing fully connected neural networks on commodity microcontrollers B Sudharsan, S Salerno, DD Nguyen, M Yahya, A Wahid, P Yadav, ... 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 883-884, 2021 | 58 | 2021 |
| Edge2train: A framework to train machine learning models (svms) on resource-constrained iot edge devices B Sudharsan, JG Breslin, MI Ali Proceedings of the 10th International Conference on the Internet of Things, 1-8, 2020 | 53 | 2020 |
| Smart speaker design and implementation with biometric authentication and advanced voice interaction capability B Sudharsan, P Corcoran, MI Ali arXiv preprint arXiv:2207.10811, 2019 | 39 | 2019 |
| Ai vision: Smart speaker design and implementation with object detection custom skill and advanced voice interaction capability B Sudharsan, SP Kumar, R Dhakshinamurthy 2019 11th International Conference on Advanced Computing (ICoAC), 97-102, 2019 | 37 | 2019 |
| Ml-mcu: A framework to train ml classifiers on mcu-based iot edge devices B Sudharsan, JG Breslin, MI Ali IEEE Internet of Things Journal 9 (16), 15007-15017, 2021 | 36 | 2021 |
| RCE-NN: a five-stage pipeline to execute neural networks (cnns) on resource-constrained iot edge devices B Sudharsan, JG Breslin, MI Ali Proceedings of the 10th International Conference on the Internet of Things, 1-8, 2020 | 36 | 2020 |
| Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches B Sudharsan, D Sundaram, JG Breslin, MI Ali Companion Proceedings of the 10th International Conference on the Internet …, 2020 | 34 | 2020 |
| Train++: An incremental ml model training algorithm to create self-learning iot devices B Sudharsan, P Yadav, JG Breslin, MI Ali 2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2021 | 27 | 2021 |
| Edge2guard: Botnet attacks detecting offline models for resource-constrained iot devices B Sudharsan, D Sundaram, P Patel, JG Breslin, MI Ali 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 26 | 2021 |
| Ultra-fast machine learning classifier execution on iot devices without sram consumption B Sudharsan, P Patel, JG Breslin, MI Ali 2021 IEEE International conference on pervasive computing and communications …, 2021 | 23 | 2021 |
| Adaptive strategy to improve the quality of communication for iot edge devices B Sudharsan, JG Breslin, MI Ali 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), 1-6, 2020 | 22 | 2020 |
| Air quality sensor network data acquisition, cleaning, visualization, and analytics: a real-world IoT use case F Rollo, B Sudharsan, L Po, JG Breslin Adjunct proceedings of the 2021 ACM international joint conference on …, 2021 | 21 | 2021 |
| Tinyfedtl: Federated transfer learning on ubiquitous tiny iot devices K Kopparapu, E Lin, JG Breslin, B Sudharsan 2022 IEEE International Conference on Pervasive Computing and Communications …, 2022 | 20 | 2022 |
| Toward distributed, global, deep learning using iot devices B Sudharsan, P Patel, J Breslin, MI Ali, K Mitra, S Dustdar, O Rana, ... IEEE Internet Computing 25 (3), 6-12, 2021 | 19 | 2021 |
| Porting and execution of anomalies detection models on embedded systems in iot: Demo abstract B Sudharsan, P Patel, A Wahid, M Yahya, JG Breslin, MI Ali Proceedings of the international conference on internet-of-things design and …, 2021 | 17 | 2021 |
| An sram optimized approach for constant memory consumption and ultra-fast execution of ml classifiers on tinyml hardware B Sudharsan, P Yadav, JG Breslin, MI Ali 2021 IEEE International Conference on Services Computing (SCC), 319-328, 2021 | 16 | 2021 |
| Enabling machine learning on the edge using sram conserving efficient neural networks execution approach B Sudharsan, P Patel, JG Breslin, MI Ali Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 16 | 2021 |
| Machine learning meets internet of things: From theory to practice B Sudharsan, P Patel | 16 | 2021 |
| A microphone array and voice algorithm based smart hearing aid B Sudharsan, M Chockalingam arXiv preprint arXiv:1908.07324, 2019 | 14 | 2019 |
| Sram optimized porting and execution of machine learning classifiers on mcu-based iot devices: demo abstract B Sudharsan, P Patel, JG Breslin, MI Ali Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical …, 2021 | 13 | 2021 |
John G. BreslinProfessor at the University of Galway and Co-PI at the Insight SFI Research CentrePreverjeni e-poštni naslov na universityofgalway.ie
