6 citations · 16 across the 6 of their papers we have counts for
7 papers
3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories
Mohammad Bavandpour, Shubham Sahay, Mohammad Reza Mahmoodi +1
The first contribution of this paper is the development of extremely dense, energy-efficient mixed-signal vector-by-matrix-multiplication (VMM) circuits based on the existing 3D-NA…
Energy-Efficient Moderate Precision Time-Domain Mixed-signal Vector-by-Matrix Multiplier Exploiting 1T-1R Arrays
Shubham Sahay, Mohammad Bavandpour, Mohammad Reza Mahmoodi +1
The emerging mobile devices in this era of internet-of-things (IoT) require a dedicated processor to enable computationally intensive applications such as neuromorphic computing an…
Improving Noise Tolerance of Mixed-Signal Neural Networks
Michael Klachko, Mohammad Reza Mahmoodi, Dmitri B. Strukov
Mixed-signal hardware accelerators for deep learning achieve orders of magnitude better power efficiency than their digital counterparts. In the ultra-low power consumption regime,…
Compact Modeling of I-V Characteristics, Temperature Dependency, Variations, and Noise of Integrated, Reproducible Metal-Oxide Memristors
H. Nili, A. Vincent, M. Prezioso +3
We present a comprehensive phenomenological model for the crossbar integrated metal-oxide continuous-state memristors. The model consists of static and dynamic equations, which are…
Energy-Efficient Time-Domain Vector-by-Matrix Multiplier for Neurocomputing and Beyond
Mohammad Bavandpour, Mohammad Reza Mahmoodi, Dmitri B. Strukov
We propose an extremely energy-efficient mixed-signal approach for performing vector-by-matrix multiplication in a time domain. In such implementation, multi-bit values of the inpu…
Fast and Efficient Skin Detection for Facial Detection
Mohammad Reza Mahmoodi
In this paper, an efficient skin detection system is proposed. The algorithm is based on a very fast efficient pre-processing step utilizing the concept of ternary conversion in or…
High Performance Novel Skin Segmentation Algorithm for Images With Complex Background
Mohammad Reza Mahmoodi
Skin Segmentation is widely used in biometric applications such as face detection, face recognition, face tracking, and hand gesture recognition. However, several challenges such a…