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Dheeb Albashish
PeerJ Author & Reviewer
340 Points

Contributions by role

Author 270
Reviewer 70

Contributions by subject area

Computational Biology
Artificial Intelligence
Computer Aided Design
Data Mining and Machine Learning
Bioinformatics
Computer Vision
Data Science
Emerging Technologies
Internet of Things
Neural Networks

Dheeb Albashish

PeerJ Author & Reviewer

Summary

Dheeb Albashish received a Ph.D. degree for his work in ensemble and feature selection for medical images at the UKM, Malaysia, in 2017. He is currently an associate professor in the Department of Computer Science at Al-Balqa Applied University, Jordan. His main current areas are image processing, feature selection, deep learning, and IoT. He has published over 50 technical papers and book chapters on these topics.

Artificial Intelligence Computational Biology Computer Aided Design Data Mining & Machine Learning Data Science

Past or current institution affiliations

Al-Balqa Applied University

Work details

assistant prof.

Al-Balqa Applied University
Computer Science
Associate prof. in Computer Science Dept./AI

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 2
  • Reviewed 1
July 5, 2022
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
Dheeb Albashish
https://doi.org/10.7717/peerj-cs.1031
January 25, 2021
Artificial neural network with Taguchi method for robust classification model to improve classification accuracy of breast cancer
Md Akizur Rahman, Ravie chandren Muniyandi, Dheeb Albashish, Md Mokhlesur Rahman, Opeyemi Lateef Usman
https://doi.org/10.7717/peerj-cs.344

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.

October 2, 2023
ELI: an IoT-aware big data pipeline with data curation and data quality
Francisco José de Haro-Olmo, Alvaro Valencia-Parra, Ángel Jesús Varela-Vaca, José Antonio Álvarez-Bermejo, María Teresa Gómez-López
https://doi.org/10.7717/peerj-cs.1605