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Heyam H. Al-Baity
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2020 – today
- 2023
- [j8]Haifa M. Al-Sarrar, Heyam H. Al-Baity:
A novel hybrid face mask detection approach using Transformer and convolutional neural network models. PeerJ Comput. Sci. 9: e1265 (2023) - [i1]Remy Peyret, Duaa Hamed Alsaeed, Fouad Khelifi, Nadia Al-Ghreimil, Heyam H. Al-Baity, Ahmed Bouridane:
Convolutional Neural Network-Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study. CoRR abs/2301.13151 (2023) - 2022
- [j7]Noorah A. Alghamdi, Heyam H. Al-Baity:
Augmented Analytics Driven by AI: A Digital Transformation beyond Business Intelligence. Sensors 22(20): 8071 (2022) - 2021
- [j6]Maha Al-Yahya, Hend S. Al-Khalifa, Heyam H. Al-Baity, Duaa Hamed Alsaeed, Amr Essam:
Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer-Based Approaches. Complex. 2021: 5516945:1-5516945:10 (2021) - [j5]Muhammad Adnan, Duaa Hamed Alsaeed, Heyam H. Al-Baity, Abdur Rehman:
Leveraging the Power of Deep Learning Technique for Creating an Intelligent, Context-Aware, and Adaptive M-Learning Model. Complex. 2021: 5519769:1-5519769:21 (2021) - 2020
- [j4]Nada Alay, Heyam H. Al-Baity:
Deep Learning Approach for Multimodal Biometric Recognition System Based on Fusion of Iris, Face, and Finger Vein Traits. Sensors 20(19): 5523 (2020)
2010 – 2019
- 2019
- [j3]Sara Alghunaim, Heyam H. Al-Baity:
On the Scalability of Machine-Learning Algorithms for Breast Cancer Prediction in Big Data Context. IEEE Access 7: 91535-91546 (2019) - [j2]Ghada Al-Hudhud, Layla Alqahtani, Heyam H. Al-Baity, Duaa Hamed Alsaeed, Isra Al-Turaiki:
Analyzing Passive BCI Signals to Control Adaptive Automation Devices. Sensors 19(14): 3042 (2019) - [c5]Heyam H. Al-Baity, Duaa Hamed Alsaeed, Henda Chorfi Ouertani:
A Streamlined Continuous Improvement Process Based on Learning Analytics: Insights from the IT Program at King Saud University. ICTA 2019: 1-5 - 2018
- [j1]Kamel Zeltni, Souham Meshoul, Heyam H. Al-Baity:
On the Convergence and Diversity of Pareto Fronts Using Swarm Intelligence Metaheuristics for Constrained Search Space. Int. J. Swarm Intell. Res. 9(1): 20-38 (2018) - [c4]Heyam H. Al-Baity, Duaa Hamed Alsaeed, Sahar Bayoumi, Nora Al-Twairesh, Hend S. Al-Khalifa:
Rejuvenation of the IT Program at King Saud University: A Change Reflecting Local and Global IT Trends. SIGITE 2018: 129-134 - 2015
- [b1]Heyam H. Al-Baity:
A quantum behaved particle swarm approach to multi-objective optimization. University of Birmingham, UK, 2015 - 2014
- [c3]Heyam H. Al-Baity, Souham Meshoul, Ata Kabán, Lilac A. E. Al-Safadi:
Quantum behaved particle swarm optimization for data clustering with multiple objectives. SoCPaR 2014: 215-220 - 2012
- [c2]Heyam H. Al-Baity, Souham Meshoul, Ata Kabán:
On extending quantum behaved particle swarm optimization to multiobjective context. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c1]Heyam H. Al-Baity, Souham Meshoul, Ata Kabán:
Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm. ICONIP (3) 2012: 456-464
Coauthor Index
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