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Mahmoud Shams
PeerJ Author & Reviewer
375 Points

Contributions by role

Author 235
Reviewer 140

Contributions by subject area

Bioinformatics
Computational Biology
Artificial Intelligence
Computer Vision
Data Mining and Machine Learning
Algorithms and Analysis of Algorithms
Computer Education
Data Science
Software Engineering

Mahmoud Y. Shams

PeerJ Author & Reviewer

Summary

MAHMOUD Y. SHAMS received the bachelor’s
degree in electronics and communication from
the Faculty of Engineering, Mansoura University,
in 2004, the master’s degree in computer vision
and pattern recognition from the Faculty of Computer and Information Sciences, Mansoura University, and the Ph.D. degree from the Computer
Science Department, Mansoura University. He is
currently an Assistant Professor with the Machine
Learning and Information Retrieval Department,
Faculty of Artificial Intelligence, Kafr Elsheikh University. He has published
over ten articles in refereed international journals. His research interests
include using deep learning approaches and cloud computing.

Artificial Intelligence Bioinformatics Computational Biology Computer Vision Data Mining & Machine Learning

Identities

@Mahmoud Yassein Shams

PeerJ Contributions

  • Articles 2
  • Reviewed 3
February 18, 2021
COVID-19: a new deep learning computer-aided model for classification
Omar M. Elzeki, Mahmoud Shams, Shahenda Sarhan, Mohamed Abd Elfattah, Aboul Ella Hassanien
https://doi.org/10.7717/peerj-cs.358
February 10, 2021
A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset
Omar M. Elzeki, Mohamed Abd Elfattah, Hanaa Salem, Aboul Ella Hassanien, Mahmoud Shams
https://doi.org/10.7717/peerj-cs.364

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

April 2, 2025
The effects of mismatched train and test data cleaning pipelines on regression models: lessons for practice
James Nevin, Michael Lees, Paul Groth
https://doi.org/10.7717/peerj-cs.2793
November 4, 2024
Comprehensive empirical evaluation of feature extractors in computer vision
Murat ISIK
https://doi.org/10.7717/peerj-cs.2415
June 29, 2021
Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures
Ayat Abedalla, Malak Abdullah, Mahmoud Al-Ayyoub, Elhadj Benkhelifa
https://doi.org/10.7717/peerj-cs.607