Energy-aware Adaptive Approximate Computing for Deep Learning Applications N TaheriNejad, S Shakibhamedan 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 328-328, 2022 | 4 | 2022 |
Persian Musical Instrument Recognition System S Shakibhamedan, SK Hashemifard, F Faradji, M Vali First International Conference on New Research Achievements in Electrical …, 2016 | 2 | 2016 |
Adaptive approximate computing in edge AI and IoT applications: A review HJ Damsgaard, A Grenier, D Katare, Z Taufique, S Shakibhamedan, ... Journal of Systems Architecture, 103114, 2024 | 1 | 2024 |
ACE-CNN: Approximate Carry Disregard Multipliers for Energy-Efficient CNN-Based Image Classification S Shakibhamedan, N Amirafshar, AS Baroughi, HS Shahhoseini, ... IEEE Transactions on Circuits and Systems I: Regular Papers, 2024 | | 2024 |
EASE: Energy Optimization through Adaptation–A Review of Runtime Energy-Aware Approximate Deep Learning Algorithms S Shakibhamedan, A Aminifar, N Taherinejad, A Jantsch Authorea Preprints, 2024 | | 2024 |
RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals A Aminifar, S Khooyooz, A Jahanjoo, S Shakibhamedan, N TaheriNejad | | 2024 |