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Author

M. E. Alqaysi

Observed names: M.E. Alqaysi, Z. T. Al-Qaysi
Institution: University of Anbar
ORCID: 0000-0001-9932-0992
Observed ORCID: 0000-0001-9932-0992
OpenAlex ID: A5017367751
Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis
2024 · Mohammed A. Fadhel, Ali M. Duhaim, et al. · Artificial Intelligence Review · 108
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Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues
2023 · Shahad Sabbar Joudar, A. S. Albahri, et al. · Artificial Intelligence Review · 89
Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques: A Systematic Review
2022 · M. E. Alqaysi, A. S. Albahri, et al. · International Journal of Telemedicine and Applications · 53
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Evaluation of autonomous underwater vehicle motion trajectory optimization algorithms
2023 · Noorulden Basil, M.E. Alqaysi, et al. · Knowledge-Based Systems · 45
Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework
2022 · M. E. Alqaysi, A. S. Albahri, et al. · Computational and Mathematical Methods in Medicine · 41
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A Trustworthy and Explainable Framework for Benchmarking Hybrid Deep Learning Models Based on Chest X-Ray Analysis in CAD Systems
2024 · A. S. Albahri, Mustafa Mohammed Jassim, et al. · International Journal of Information Technology & Decision Making · 35
Explainable Artificial Intelligence Multimodal of Autism Triage Levels Using Fuzzy Approach-Based Multi-criteria Decision-Making and LIME
2023 · A. S. Albahri, Shahad Sabbar Joudar, et al. · International Journal of Fuzzy Systems · 34
Intelligent Decision-Making Framework for Evaluating and Benchmarking Hybridized Multi-Deep Transfer Learning Models: Managing COVID-19 and Beyond
2023 · M. A. Ahmed, Z. T. Al-Qaysi, et al. · International Journal of Information Technology & Decision Making · 23
Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model
2024 · M. E. Alqaysi, A. S. Albahri, et al. · Neural Computing and Applications · 16
Trust and explainability in robotic hand control via adversarial multiple machine learning models with EEG sensor data fusion: A fuzzy decision-making solution
2025 · A.S. Albahri, Rula A. Hamid, et al. · Computers in Biology and Medicine · 3
Leakage-Safe Borrower Segmentation Using Deep Clustering and Machine Learning in Large-Scale Lending Data
2026 · M. E. Alqaysi, Ahmed Subhi Abdalkafor, et al. · Journal of Al-Farabi For Engineering Sciences
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Intelligent Decision-Making Framework for Evaluating and Benchmarking Hybridized Multi-Deep Transfer Learning Models: Managing COVID-19 and Beyond
2025 · M. A. Ahmed, Z. T. Al-Qaysi, et al. · WORLD SCIENTIFIC eBooks
Comprehensive study of Integrating Clustering and Adversarial Learning for Enhanced Recommender Systems: A Systematic Review of Hybrid Methodologies and Applications
2025 · M. E. Alqaysi, Murtadha M. Hamad, et al. · Mesopotamian Journal of CyberSecurity
Works count: 14
Citation count: 470
H-index: 10
I10-index: 10
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