| Potential of edge machine learning for instrumentation AC Therrien, B Gouin-Ferland, MM Rahimifar Applied optics 61 (8), 1930-1937, 2022 | 10 | 2022 |
| A survey of machine learning to fpga tool-flows for instrumentation MM Rahimifar, CÉ Granger, Q Wingering, B Gouin-Ferland, HE Rahali, ... 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022 | 4 | 2022 |
| Efficient compression at the edge for real-time data acquisition in a billion-pixel x-ray camera HE Rahali, MM Rahimifar, CÉ Granger, Z Wang, AC Therrien Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2024 | 3 | 2024 |
| Robustness scan of digital circuits using convolutional neural networks M Vaziri, MM Rahimifar, H Jahanirad 2022 12th International Conference on Computer and Knowledge Engineering …, 2022 | 3 | 2022 |
| Combining optimized quantization and machine learning for real-time data reduction at the edge B Gouin-Ferland, MM Rahimifar, CÉ Granger, Q Wingering, R Coffee, ... 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022 | 3 | 2022 |
| An Enhanced Chaotic System Based Color Image Encryption using DNA Encoding M Vaziri, MM Rahimifar, H Jahanirad 2022 30th International Conference on Electrical Engineering (ICEE), 128-133, 2022 | 3 | 2022 |
| Exploring machine learning to hardware implementations for large data rate x-ray instrumentation MM Rahimifar, Q Wingering, B Gouin-Ferland, HE Rahali, CÉ Granger, ... Machine Learning: Science and Technology 4 (4), 045035, 2023 | 2 | 2023 |
| Employing Image Processing Techniques for Hardware Trojans Detection MM Rahimifar, H Jahanirad 2020 10th International Conference on Computer and Knowledge Engineering …, 2020 | 2 | 2020 |
| Deep transfer learning approach for digital circuits vulnerability analysis MM Rahimifar, H Jahanirad, M Fathi Expert Systems with Applications 237, 121757, 2024 | 1 | 2024 |
| A Versatile Edge Machine Learning Test Bench for High Bandwidth Instrumentation Q Wingering, MM Rahimifar, AC Therrien 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and …, 2023 | 1 | 2023 |
| rule4ml: An Open-Source Tool for Resource Utilization and Latency Estimation for ML Models on FPGA MM Rahimifar, HE Rahali, AC Therrien arXiv preprint arXiv:2408.05314, 2024 | | 2024 |
| HENNC: Hardware Engine for Artificial Neural Network-based Chaotic Oscillators M Vaziri, S Vakili, MM Rahimifar, JM Langlois arXiv preprint arXiv:2407.19165, 2024 | | 2024 |
| Building Real Time Edge Machine Learning Systems for High Data Rate Acquisition MM Rahimifar, Q Wingering, B Gouin-Ferland, R Coffee, AC Therrien 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and …, 2023 | | 2023 |
| Optimizing FPGA-based Sparse Coding for Real-time Processing in X-ray Instrumentation HE Rahali, MM Rahimifar, Z Wang, AC Therrien 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and …, 2023 | | 2023 |
| Machine Learning for Sub-Microsecond Edge Data Processing R Coffee | | |
Audrey Corbeil TherrienUniversité de Sherbrooke在 usherbrooke.ca 的电子邮件经过验证
