IoT Based Intelligent Computer-Aided Diagnosis and Decision Making System for Health Care. - Channabasava Chola; Md Belal Bin Heyat; Faijan Akhtar; Omar AlShorman; J. V. Bibal Benifa; Abdulla Yahya Mohammed Muaad; Mahmoud Masadeh; Fahad Alkahatni (ICIT, 2021)

Image Inpainting and Classification Agent Training Based on Reinforcement Learning and Generative Models with Attention Mechanism. - Chiagoziem Chima Ukwuoma; Md Belal Bin Heyat; Mahmoud Masadeh; Faijan Akhtar; Zhiguang Qin; Emmanuel Bondzie-Selby; Omar AlShorman; Fahad Alkahtani (ICM, 2021)

Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal. - Pragati Tripathi; M. A. Ansari; Tapan Kumar Gandhi; Rajat Mehrotra; Md Belal Bin Heyat; Faijan Akhtar; Chiagoziem Chima Ukwuoma; Abdullah Yahya Mohammed Muaad; Yasser M. Kadah; Mugahed A. Al-antari; Jianping Li 002 (IEEE Access, 2022)

Experimental and Computational Approaches for the Classification and Correlation of Temperament (Mizaj) and Uterine Dystemperament (Su'-I-Mizaj Al-Rahim) in Abnormal Vaginal Discharge (Sayalan Al-Rahim) Based on Clinical Analysis Using Support Vector Machine. - Arshiya Sultana; Wajeeha Begum; Rushda Saeedi; Khaleequr Rahman; Md Belal Bin Heyat; Faijan Akhtar; Ngo Tung Son; Hadaate Ullah (Complex., 2022)

FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas. - J. V. Bibal Benifa; Channabasava Chola; Abdullah Yahya Mohammed Muaad; Mohd Ammar Bin Hayat; Md Belal Bin Heyat; Rajat Mehrotra; Faijan Akhtar; Hany S. Hussein; Debora Libertad Ramírez Vargas; Ángel Gabriel Kuc Castilla; Isabel de la Torre Díez; Salabat Khan (Sensors, 2023)

Progress and trends in neurological disorders research based on deep learning. - Muhammad Shahid Iqbal; Md Belal Bin Heyat; Saba Parveen; Mohd Ammar Bin Hayat; Mohamad Roshanzamir; Roohallah Alizadehsani; Faijan Akhtar; Eram Sayeed; Sadiq Hussain; Hany S. Hussein; Mohamad Sawan (Comput. Medical Imaging Graph., 2024)

Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies. - Faijan Akhtar; Md Belal Bin Heyat; Arshiya Sultana; Saba Parveen; Hafiz Muhammad Zeeshan; Stalin Fathima Merlin; Bairong Shen; Dustin Pomary; Jian Ping Li; Mohamad Sawan (WIREs Data. Mining. Knowl. Discov., 2024)

Meta-knowledge guided Bayesian optimization framework for robust crop yield estimation. - Muhammad Hanif Tunio; Jian Ping Li 002; Xiaoyang Zeng; Faijan Akhtar; Syed Attique Shah; Awais Ahmed; Yu Yang; Md Belal Bin Heyat (J. King Saud Univ. Comput. Inf. Sci., 2024)

Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends. - Md Belal Bin Heyat; Deepak Adhikari; Faijan Akhtar; Saba Parveen; Hafiz Muhammad Zeeshan; Hadaate Ullah; Yun-Hsuan Chen; Lu Wang 002; Mohamad Sawan (Int. J. Intell. Syst., 2025)

Artificial Intelligence for Text Analysis in the Arabic and Related Middle Eastern Languages: Progress, Trends, and Future Recommendations. - Abdullah Yahya Mohammed Muaad; Md Belal Bin Heyat; Faijan Akhtar; Usman Naseem; Wadeea R. Naji; Suresha Mallappa; Hanumanthappa J (Int. J. Intell. Syst., 2025)

Internet of Things in Healthcare Research: Trends, Innovations, Security Considerations, Challenges and Future Strategy. - Attique Ur Rehman; Songfeng Lu; Md Belal Bin Heyat; Muhammad Shahid Iqbal; Saba Parveen; Mohd Ammar Bin Hayat; Faijan Akhtar; Muhammad Awais Ashraf; Owais Khan; Dustin Pomary; Mohamad Sawan (Int. J. Intell. Syst., 2025)

Efficient blockchain-based mutual remote authentication for enhancing privacy and security in cloud internet of things environment. - Attiq Ur Rehman; Songfeng Lu; Md Belal Bin Heyat; Mohd Ammar Bin Hayat; Faijan Akhtar; Muhammad Usman; Rashid Abbasi; Fei Luo 003; Abdullah Yahya Mohammed Muaad (Peer Peer Netw. Appl., 2025)

AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions. - Saba Parveen; Md Belal Bin Heyat; Umair Tariq; Faijan Akhtar; Hafiz Muhammad Zeeshan; Seth Christopher Yaw Appiah; Shang-Ming Zhou; Huang Lei (J. Big Data, 2025)