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Author

Basheer Almuhaya

Institution: Taiz University
ORCID: 0009-0003-5514-9726
Observed ORCID: 0009-0003-5514-9726
OpenAlex ID: A5094188915
Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis
2024 · Abdullah O. Baarimah, Mahmood A. Bazel, et al. · Case Studies in Chemical and Environmental Engineering · 115
The Era of Industry 5.0: An Overview of Technologies, Applications, and Challenges
2024 · Mahmood A. Bazel, Fathey Mohammed, et al. · Lecture notes on data engineering and communications technologies · 33
A hybrid vision transformer with ensemble CNN framework for cervical cancer diagnosis
2025 · Aymen M. Al-Hejri, Riyadh M. Al-Tam, et al. · BMC Medical Informatics and Decision Making · 29
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Hybrid Deep Learning and Fuzzy Matching for Real-Time Bidirectional Arabic Sign Language Translation: Toward Inclusive Communication Technologies
2025 · Mogeeb A. A. Mosleh, Ahmed A. A. Mohammed, et al. · IEEE Access · 13
Malaria Detection Using Convolutional Neural Networks: A Comparative Study
2023 · Basheer Almuhaya, Rehab Mohammed, et al. · International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 11
Comparative Analysis of Machine Learning Algorithms for Arabic Sentiment Analysis on Imbalanced Social Media Data
2024 · Basheer Almuhaya, Bishal Saha, et al. · ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) · 8
Kidney Disease Classification and Diagnosis: A Comprehensive Review of Current AI Techniques
2024 · Ezzaldeen Esmail, Ahmed A. A. Mohammed, et al. · International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 7
Advances in Feature Extraction for Brain Cancer Analysis: A Review of Traditional, Machine Learning, and Deep Learning Approaches
2024 · Basheer Almuhaya, Bishal Saha, et al. · ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) · 6
Advancing Sustainability Through Industry 5.0: Trends, Challenges, and Future Directions
2026 · Mahmood A. Bazel, Abdullah O. Baarimah, et al. · Springer eBooks · 2
Development and Evaluation of Pre-trained Deep Learning Models for Efficient Arabic Sign Language Recognition
2024 · Ahmed A. A. Mohammed, Ezzaldeen Esmail, et al. · International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 1
Imaging Modalities in Brain Cancer Detection and Diagnosis
2024 · Basheer Almuhaya, Bishal Saha, et al. · International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 1
Handwritten Recognition Applications, Techniques, And Methods: Arabic Language as A Case Study
2024 · Basheer Almuhaya, Bishal Saha · SSRN Electronic Journal · 1
A Comparative Analysis of Two Arabic Handwritten Datasets Using Pretrained Deep Learning Models
2024 · Basheer Almuhaya, Bishal Saha · SSRN Electronic Journal
Works count: 13
Citation count: 227
H-index: 7
I10-index: 5
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