Md Belal Bin Heyat

According to our database, Md Belal Bin Heyat authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Meta-knowledge guided Bayesian optimization framework for robust crop yield estimation.

Muhammad Hanif Tunio, Jian Ping Li, Xiaoyang Zeng, Faijan Akhtar, Syed Attique Shah, Awais Ahmed, Yu Yang, Md Belal Bin Heyat

J. King Saud Univ. Comput. Inf. Sci., January, 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

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, July, 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., July, 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

A Survey on X.509 Public-Key Infrastructure, Certificate Revocation, and Their Modern Implementation on Blockchain and Ledger Technologies.

Salabat Khan, Fei Luo, Zijian Zhang, Farhan Ullah, Farhan Amin, Syed Furqan Qadri, Md Belal Bin Heyat, Rukhsana Ruby, Lu Wang, Shamsher Ullah, Meng Li, Victor C. M. Leung, Kaishun Wu

IEEE Commun. Surv. Tutorials, 2023

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

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

IEEE Access, 2022

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

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

Proceedings of the International Conference on Microelectronics, 2021

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

Proceedings of the International Conference on Information Technology, 2021

2020

A Survey on Deep Learning Classification Algorithms for Motor Imagery.

Bishal Guragai, Omar AlShorman, Mahmoud Masadeh, Md Belal Bin Heyat

Proceedings of the 32nd International Conference on Microelectronics, 2020

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

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

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

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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019