User profiles for M. Fathy

Mahmood Fathy

- Verified email at iust.ac.ir - Cited by 11445

Moustafa Fathy

- Verified email at minia.edu.eg - Cited by 1329

Mai Fathy

- Verified email at med.asu.edu.eg - Cited by 260

Vehicular ad hoc networks (VANETs): challenges and perspectives

S Yousefi, MS Mousavi, M Fathy - 2006 6th international …, 2006 - ieeexplore.ieee.org
… The aim ofthis standard is to provide wireless conunnnications capabilities for transportation
applications within a 1000 m range at typical highway speeds. It provides seven 10 MIz …

A review on driver face monitoring systems for fatigue and distraction detection

…, MR Pourshahabi, M Soryani, M Fathy - International Journal of …, 2014 - earticle.net
Every year, many car accidents due to driver fatigue and distraction occur around the world
and cause many casualties and injuries. Driver face monitoring systems is one of the main …

Deep-cascade: Cascading 3d deep neural networks for fast anomaly detection and localization in crowded scenes

M Sabokrou, M Fayyaz, M Fathy… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
… Sabokrou, M. Fathy, and M. Hoseini, “Video anomaly detection and localization based on …
Fathy. His research interests include machine learning (deep learning and outlier detection) …

Adversarially learned one-class classifier for novelty detection

M Sabokrou, M Khalooei, M Fathy… - Proceedings of the …, 2018 - openaccess.thecvf.com
… Boiman and M. Irani. Detecting irregularities in images and in video. … Sabokrou, M. Fathy,
and M. Hoseini. Video anomaly detection and localisation based on the sparsity and reconstruc…

Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes

M Sabokrou, M Fayyaz, M Fathy, Z Moayed… - Computer Vision and …, 2018 - Elsevier
… Recall that each region for the input of the FCN is described by a feature vector of length m
1 . In this continuous process, we have m k maps as output for the kth layer. Consequently, a …

A classified and comparative study of edge detection algorithms

M Sharifi, M Fathy, MT Mahmoudi - … . International conference on …, 2002 - ieeexplore.ieee.org
Since edge detection is in the forefront of image processing for object detection, it is crucial
to have a good understanding of edge detection algorithms. This paper introduces a new …

[HTML][HTML] Innate and adaptive immunopathogeneses in viral hepatitis; crucial determinants of hepatocellular carcinoma

…, S Samir, N Eldafashi, KY William, MH Nazmy, M Fathy… - Cancers, 2022 - mdpi.com
Simple Summary Infections with Hepatitis B and Hepatitis C viruses are usually asymptomatic
and although some patients undergo resolution of infection, the majority do not. Chronic …

Bi-directional ConvLSTM U-Net with densley connected convolutions

…, M Asadi-Aghbolaghi, M Fathy… - Proceedings of the …, 2019 - openaccess.thecvf.com
In recent years, deep learning-based networks have achieved state-of-the-art performance
in medical image segmentation. Among the existing networks, U-Net has been successfully …

Analytical model for connectivity in vehicular ad hoc networks

…, E Altman, R El-Azouzi, M Fathy - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
… El-Azouzi, and M. Fathy, “Improving connectivity in vehicular ad hoc networks: An analytical
… Mahmood Fathy received the BS degree in electronics from Iran University of Science and …

Driver behavior detection and classification using deep convolutional neural networks

M Shahverdy, M Fathy, R Berangi… - Expert Systems with …, 2020 - Elsevier
Driver behavior monitoring system as Intelligent Transportation Systems (ITS) have been
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring the …