activity
20092021
most citedBandwidth Modeling and Estimation in Peer to Peer Networks

10 citations · 12 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2021

A Rule-based/BPSO Approach to Produce Low-dimensional Semantic Basis Vectors Set

Atefe Pakzad, Morteza Analoui

We intend to generate low-dimensional explicit distributional semantic vectors. In explicit semantic vectors, each dimension corresponds to a word, so word vectors are interpretabl…

cs.CV2020★ 2 cited

M^2 Deep-ID: A Novel Model for Multi-View Face Identification Using Convolutional Deep Neural Networks

Sara Shahsavarani, Morteza Analoui, Reza Shoja Ghiass

Despite significant advances in Deep Face Recognition (DFR) systems, introducing new DFRs under specific constraints such as varying pose still remains a big challenge. Most partic…

cs.CR2015

SFAMSS: a secure framework for atm machines via secret sharing

Zeinab Ghafari, Taha Arian, Morteza Analoui

As ATM applications deploy for a banking system, the need to secure communications will become critical. However, multicast protocols do not fit the point-to-point model of most ne…

cs.DC2012

A Novel Process Mapping Strategy in Clustered Environments

Mohsen Soryani, Morteza Analoui, Ghobad Zarrinchian

Nowadays the number of available processing cores within computing nodes which are used in recent clustered environments, are growing up with a rapid rate. Despite this trend, the…

cs.NI2010★ 10 cited

Bandwidth Modeling and Estimation in Peer to Peer Networks

Kiarash Mizanian, Mehdi Vasef, Morteza Analoui

Recent studies have shown that the majority of today's internet traffic is related to Peer to Peer (P2P) traffic. The study of bandwidth in P2P networks is very important. Because…

cs.DC2010

Classifying Application Phases in Asymmetric Chip Multiprocessors

A. Z. Jooya, M. Analoui

In present study, in order to improve the performance and reduce the amount of power which is dissipated in heterogeneous multicore processors, the ability of detecting the program…