4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AR2026
Cross-Layer Co-Optimized LSTM Accelerator for Real-Time Gait Analysis
Mohammad Hasan Ahmadilivani, Levent Aksoy, Mohammad Eslami +2
Long Short-Term Memory (LSTM) neural networks have penetrated healthcare applications where real-time requirements and edge computing capabilities are essential. Gait analysis that…
cs.NE2024★ 4 cited
On-Chip Learning with Memristor-Based Neural Networks: Assessing Accuracy and Efficiency Under Device Variations, Conductance Errors, and Input Noise
M. Reza Eslami, Dhiman Biswas, Soheib Takhtardeshir +2
This paper presents a memristor-based compute-in-memory hardware accelerator for on-chip training and inference, focusing on its accuracy and efficiency against device variations,…