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Dr. Rashid Ayub

Assistant Professor

Researcher

علوم الحاسب والمعلومات
Dept. of Science, Technology & Innovation, King Saud University, P. O. Box-2454, Riyadh-11451 , Saudi Arabia

+966-11-4696204
rayub@ksu.edu.sa
publication
Journal Article
2024

EEG Depression Net: A Novel Self Attention-based Gated DenseNet with Hybrid Heuristic adopted Mental Depression Detection Model using EEG Signals

Publisher Name
IEEE Journal of Biomedical and Health Informatics
more of publication
publications
Enhancing Early Detection of Autistic Spectrum Disorder in Children Using Machine Learning Approaches
by Rashid Ayub, Syed Immamul Ansarullah, Faizan Samdani, Ali Akhtar, Mohd Afzal, & Shaik Moinuddin Ahmed.
2024
Published in:
Journal of King Saud University-Science
publications
Machine Learning Approaches for the Design of Anti-HIV Nitroimidazole derivatives: A Comprehensive Study Combining 2D/3D QSAR, kNN-MFA Analysis, docking, Molecular Dynamics Simulations and MMGB/SA Studies
by Momin Ziyaul-Haque1, Rashid Ayub2, Mohd Usman Mohd Siddique3*, Amit Gangwal4, Azim Ansari3, Mudassar Shahid4, Yogeeta O Agrawal5 & Tasneem Khan6*.
2024
Published in:
Arabian Journal of Chemistry
publications
EEG Depression Net: A Novel Self Attention-based Gated DenseNet with Hybrid Heuristic adopted Mental Depression Detection Model using EEG Signals
by Achyut Shankar, Stavros Shiaeles, Mustufa Haider Abidi, Khaja Moiduddin, Rashid Ayub & Muneer Khan Mohammed.
2024
Published in:
IEEE Journal of Biomedical and Health Informatics