Convolutional Neural Network Based Detection of Atrial Fibrillation Combing R-R intervals and F-wave Frequency Spectrum. - Dakun Lai; Xinshu Zhang; Yifei Zhang; Md Belal Bin Heyat (EMBC, 2019)

Sleep Bruxism Detection Using Decision Tree Method by the Combination of C4-P4 and C4-A1 Channels of Scalp EEG. - Md Belal Bin Heyat; Dakun Lai; Faez Iqbal Khan; Yifei Zhang (IEEE Access, 2019)

Prognosis of Sleep Bruxism Using Power Spectral Density Approach Applied on EEG Signal of Both EMG1-EMG2 and ECG1-ECG2 Channels. - Dakun Lai; Md Belal Bin Heyat; Faez Iqbal Khan; Yifei Zhang (IEEE Access, 2019)

An Automated Strategy for Early Risk Identification of Sudden Cardiac Death by Using Machine Learning Approach on Measurable Arrhythmic Risk Markers. - Dakun Lai; Yifei Zhang; Xinshu Zhang; Ye Su; Md Belal Bin Heyat (IEEE Access, 2019)

A Survey on Deep Learning Classification Algorithms for Motor Imagery. - Bishal Guragai; Omar AlShorman; Mahmoud Masadeh; Md Belal Bin Heyat (ICM, 2020)

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)

Ensembling of Efficient Deep Convolutional Networks and Machine Learning Algorithms for Resource Effective Detection of Tuberculosis Using Thoracic (Chest) Radiography. - Rajat Mehrrotra; M. A. Ansari; Rajeev Agrawal; Pragati Tripathi; Md Belal Bin Heyat; Mohammed Al-Sarem; Abdullah Yahya Mohammed Muaad; Wamda Abdelrahman Elhag Nagmeldin; Abdelzahir Abdelmaboud; Faisal Saeed (IEEE Access, 2022)

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)

A Survey on X.509 Public-Key Infrastructure, Certificate Revocation, and Their Modern Implementation on Blockchain and Ledger Technologies. - Salabat Khan; Fei Luo 003; Zijian Zhang 001; Farhan Ullah; Farhan Amin; Syed Furqan Qadri; Md Belal Bin Heyat; Rukhsana Ruby; Lu Wang 002; Shamsher Ullah; Meng Li 006; Victor C. M. Leung; et al. (IEEE Commun. Surv. Tutorials, 2023)

CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning. - Syed Furqan Qadri; Hongxiang Lin; Linlin Shen; Mubashir Ahmad; Salman Qadri; Salabat Khan; Maqbool Khan; Syeda Shamaila Zareen; Muhammad Azeem Akbar; Md Belal Bin Heyat; Saqib Qamar (Int. J. Intell. Syst., 2023)

Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images. - Chiagoziem Chima Ukwuoma; Dongsheng Cai; Md Belal Bin Heyat; Olusola Bamisile; Humphrey Adun; Zaid Al-Huda; Mugahed A. Al-antari (J. King Saud Univ. Comput. Inf. Sci., 2023)

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)

ClusterE-ZSL: A Novel Cluster-Based Embedding for Enhanced Zero-Shot Learning in Contrastive Pre-Training Cross-Modal Retrieval. - Umair Tariq; Zonghai Hu; Khawaja Tauseef Tasneem; Md Belal Bin Heyat; Muhammad Shahid Iqbal; Kamran Aziz (IEEE Access, 2024)

Ensemble Technique for Brain Tumor Patient Survival Prediction. - D. S. Vinod; S. P. Shiva Prakash; Hussain AlSalman; Abdullah Yahya Mohammed Muaad; Md Belal Bin Heyat (IEEE Access, 2024)

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)

An Intelligent COVID-19-Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation. - Abdullah Yahya Mohammed Muaad; Shaina Raza; Md Belal Bin Heyat; Amerah A. Alabrah; Hanumanthappa J (Int. J. Intell. Syst., 2024)

The role of Internet of Things (IoT) technology in modern cultivation for the implementation of greenhouses. - Attique Ur Rehman; Songfeng Lu; Muhammad Awais Ashraf; Muhammad Shahid Iqbal; Awais Khan Nawabi; Farhan Amin; Rashid Abbasi; Isabel de la Torre Díez; Santos Gracia Villar; Luis Alonso Dzul López; Md Belal Bin Heyat (PeerJ Comput. Sci., 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)

A novel lightweight deep learning based approaches for the automatic diagnosis of gastrointestinal disease using image processing and knowledge distillation techniques. - Zafran Waheed; Jinsong Gui; Md Belal Bin Heyat; Saba Parveen; Mohd Ammar Bin Hayat; Muhammad Shahid Iqbal; Zouheir Aya; Awais Khan Nawabi; Mohamad Sawan (Comput. Methods Programs Biomed., 2025)

An end-to-end motion artifacts reduction method with 2D convolutional de-noising auto-encoders on ECG signals of wearable flexible biosensors. - Hadaate Ullah; Md Belal Bin Heyat; Topu Biswas; Nusratul Islam Neha; Md. Mohsin Sarker Raihan; Dakun Lai (Digit. Signal Process., 2025)

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)

Deep Convolutional Network-Based Probabilistic Selection Approach for Multiclassification of Brain Tumors Using Magnetic Resonance Imaging. - Rajat Mehrotra; M. A. Ansari; Rajeev Agrawal; Md Belal Bin Heyat; Pragati Tripathi; Eram Sayeed; Saba Parveen; John Irish G. Lira; Hadaate Ullah (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)