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Imran, Zeba Ghaffar, Abdullah Alshahrani, Muhammad Fayaz, Ahmed Mohammed Alghamdi, and Jeonghwan Gwak. "A Topical Review on Machine Learning, Software Defined Networking, Internet of Things Applications: Research Limitations and Challenges." Electronics 10.8 (2021): 880.
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Alghamdi, Ahmed Mohammed, and Khalid Almarhabi. "A Proposed Framework for the Automated Authorization Testing of Mobile Applications." International Journal of Computer Science and Network Security 21.5 (2021).
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Alghamdi, Ahmed Mohammed, Hafsa Riasat, Muhammad Waseem Iqbal, Muhammad Usman Ashraf, Abdullah Alshahrani, and Adel Alshamrani. "Intelligence and Usability Empowerment of Smartphone Adaptive Features." Applied Sciences 12.23 (2022): 12245.
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Alghamdi, Ahmed M., Adel A. Bahaddad, and Khalid A. Almarhabi. "Differences in Users' Insights and Increase in the Acceptance Level for Using the BYOD Approach in Government, Non-Profit Organizations, and Private Sectors in Saudi Arabia." International Journal of Computer Network and Information Security 14.7 (2022).
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Almarhabi, Khalid A., Ahmed M. Alghamdi, and Adel A. Bahaddad. "Adoption of the Bring Your Own Device (BYOD) Approach in the Health Sector in Saudi Arabia." International Journal of Computer Network and Information Security 14.7 (2022).
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Almarhabi, Khalid, Adel Bahaddad, and Ahmed Mohammed Alghamdi. "Security Management of BYOD and Cloud Environment in Saudi Arabia." Alexandria Engineering Journal (2023).
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Mumtaz, Gohar, Sheeraz Akram, Muhammad Waseem Iqbal, M. Usman Ashraf, Khalid Ali Almarhabi, Ahmed Mohammed Alghamdi, and Adel A. Bahaddad. "Classification and Prediction of Significant Cyber Incidents (SCI) Using Data Mining and Machine Learning (DM-ML)." IEEE Access 11 (2023): 94486–94496.
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Rasheed, Mehwish, Muhammad Waseem Iqbal, Arfan Jaffar, Muhammad Usman Ashraf, Khalid Ali Almarhabi, Ahmed Mohammed Alghamdi, and Adel A. Bahaddad. "Recognizing Brain Tumors Using Adaptive Noise Filtering and Statistical Features." Diagnostics 13.8 (2023): 1451.
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Altalhi, Saeed Musaad, Fathy Elbouraey Eassa, Abdullah Saad Al-Malaise Al-Ghamdi, Sanaa Abdullah Sharaf, Ahmed Mohammed Alghamdi, Khalid Ali Almarhabi, and Maher Ali Khemakhem. "An Architecture for a Tri-Programming Model-Based Parallel Hybrid Testing Tool." Applied Sciences 13.21 (2023): 11960.
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Aamir, Muhammad, Muhammad Waseem Iqbal, Mariam Nosheen, M. Usman Ashraf, Ahmad Shaf, Khalid Ali Almarhabi, Ahmed Mohammed Alghamdi, and Adel A. Bahaddad. "AMDDLmodel: Android Smartphones Malware Detection Using Deep Learning Model." PLOS ONE (2024).
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Alghamdi, Ahmed Mohammed, Mahmoud Ahmad Al-Khasawneh, Ala Alarood, and Eesa Alsolami. "The Role of Machine Learning in Managing and Organizing Healthcare Records." Engineering, Technology & Applied Science Research 14.2 (2024): 13695–13701.
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Alghamdi, Ahmed Mohammed, and Waleed A. Al Shehri. "An Architecture for COVID-19 Analysis and Detection Using Big Data, AI, and Data Architectures." PLOS ONE 19.8 (2024): e0305483.
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Al Shehri, Waleed, and Ahmed Mohammed Alghamdi. "Smart Home Energy Optimization System." Thermal Science 28.6B (2024): 5071–5085.
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Alghamdi, Ahmed M., Waleed Al Shehri, Jameel Almalki, Najlaa Jannah, Adel Bahaddad, and Abdullah M. Bokhary. "Heart Failure Risk Prediction Using Azure Data Lake Architecture with Automated Machine Learning and Machine Learning Approaches." Thermal Science 28.6 (2024).
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Alghamdi, Ahmed Mohammed. "Design and Analysis of Lightweight and Robust Authentication Protocol for Securing the Resource Constrained IIoT Environment." PLOS ONE (2025).
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Almukadi, Wafa, Sayed Abdel-Khalek, Adel A. Bahaddad, and Ahmed Mohammed Alghamdi. "Driven Early Detection of Chronic Kidney Cancer Disease Based on Machine Learning Technique." PLOS ONE 20.7 (2025): e0326080.
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Alghamdi, Ahmed Mohammed, M. Usman Ashraf, Adel A. Bahaddad, Khalid Ali Almarhabi, Waleed A. Al Shehri, and Amil Daraz. "Cross-Subject EEG Signals-Based Emotion Recognition Using Contrastive Learning." Scientific Reports 15 (2025): 28295.
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Alghamdi, Ahmed Mohammed, M. Usman Ashraf, Adel A. Bahaddad, Khalid Ali Almarhabi, Waleed A. Al Shehri, and Amil Daraz. "A Novel Approach Hybrid of Ensemble Learning and 3-D CNN Mechanism: Early-Stage Diagnosis of Alzheimer's Disease Using EEG Signals." Scientific Reports 15 (2025): 35893.
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Bahaddad, Adel A., Khalid Ali Almarhabi, Mohammed Alshahrani, Mohammed Mnzool, Adil A. M. Elhassan, Arwa Alzughaibi, and Ahmed Mohammed Alghamdi. "An Efficient Algorithm for Traffic Flow Evaluation on Smart Cities Based on Deep Learning." Thermal Science 29.2 (2025).
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Alghamdi, Ahmed Mohammed, et al. "Machine Learning-Assisted Analysis of Memory-Dependent Dual-Phase-Lag Bioheat Transfer in Skin Tissue Under Thermal Shock and Harmonic Heating." (2026).
