21 citations · 30 across the 9 of their papers we have counts for
14 papers
Energy-efficient Non Uniform Last Level Caches for Chip-multiprocessors Based on Compression
Pooneh Safayenikoo, Arghavan Asad, Mahmood Fathy
With technology scaling, the size of cache systems in chip-multiprocessors (CMPs) has been dramatically increased to efficiently store and manipulate a large amount of data in futu…
Image/Video Deep Anomaly Detection: A Survey
Bahram Mohammadi, Mahmood Fathy, Mohammad Sabokrou
The considerable significance of Anomaly Detection (AD) problem has recently drawn the attention of many researchers. Consequently, the number of proposed methods in this research…
DV-DVFS: Merging Data Variety and DVFS Technique to Manage the Energy Consumption of Big Data Processing
Hossein Ahmadvand, Fouzhan Foroutan, Mahmood Fathy
Data variety is one of the most important features of Big Data. Data variety is the result of aggregating data from multiple sources and uneven distribution of data. This feature o…
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
Maryam Asadi-Aghbolaghi, Reza Azad, Mahmood Fathy +1
Medical image segmentation has been very challenging due to the large variation of anatomy across different cases. Recent advances in deep learning frameworks have exhibited faster…
Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions
Mohammad Sabokrou, Masoud Pourreza, Xiaobai Li +2
This paper presents a novel method for remote heart rate (HR) estimation. Recent studies have proved that blood pumping by the heart is highly correlated to the intense color of fa…
An Energy-Efficient Heterogeneous Memory Architecture for Future Dark Silicon Embedded Chip-Multiprocessors
Salman Onsori, Arghavan Asad, Kaamran Raahemifar +1
Main memories play an important role in overall energy consumption of embedded systems. Using conventional memory technologies in future designs in nanoscale era causes a drastic i…