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ORCIDMd Belal Bin Heyat
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2020 – today
- 2024
[j16]D. S. Vinod
, S. P. Shiva Prakash, Hussain AlSalman, Abdullah Yahya Mohammed Muaad, Md Belal Bin Heyat:
Ensemble Technique for Brain Tumor Patient Survival Prediction. IEEE Access 12: 19285-19298 (2024)- [j15]Umair Tariq, Zonghai Hu, Khawaja Tauseef Tasneem, Md Belal Bin Heyat, Muhammad Shahid Iqbal, Kamran Aziz:
ClusterE-ZSL: A Novel Cluster-Based Embedding for Enhanced Zero-Shot Learning in Contrastive Pre-Training Cross-Modal Retrieval. IEEE Access 12: 162622-162637 (2024) - [j14]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:
Progress and trends in neurological disorders research based on deep learning. Comput. Medical Imaging Graph. 116: 102400 (2024) - [j13]Abdullah Yahya Mohammed Muaad, Shaina Raza, Md Belal Bin Heyat, Amerah A. Alabrah, Hanumanthappa J:
An Intelligent COVID-19-Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation. Int. J. Intell. Syst. 2024: 1-15 (2024) - [j12]Muhammad Hanif Tunio, Jian Ping Li, Xiaoyang Zeng, Faijan Akhtar, Syed Attique Shah, Awais Ahmed, Yu Yang, Md Belal Bin Heyat:
Meta-knowledge guided Bayesian optimization framework for robust crop yield estimation. J. King Saud Univ. Comput. Inf. Sci. 36(1): 101895 (2024) - [j11]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:
The role of Internet of Things (IoT) technology in modern cultivation for the implementation of greenhouses. PeerJ Comput. Sci. 10: e2309 (2024) - 2023
- [j10]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:
A Survey on X.509 Public-Key Infrastructure, Certificate Revocation, and Their Modern Implementation on Blockchain and Ledger Technologies. IEEE Commun. Surv. Tutorials 25(4): 2529-2568 (2023) - [j9]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:
CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning. Int. J. Intell. Syst. 2023: 1-14 (2023) - [j8]Chiagoziem Chima Ukwuoma, Dongsheng Cai, Md Belal Bin Heyat, Olusola Bamisile, Humphrey Adun, Zaid Al-Huda, Mugahed A. Al-antari:
Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images. J. King Saud Univ. Comput. Inf. Sci. 35(7): 101596 (2023) - [j7]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:
FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas. Sensors 23(13): 6090 (2023) - 2022
- [j6]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:
Ensembling of Efficient Deep Convolutional Networks and Machine Learning Algorithms for Resource Effective Detection of Tuberculosis Using Thoracic (Chest) Radiography. IEEE Access 10: 85442-85458 (2022) - [j5]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:
Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal. IEEE Access 10: 108710-108721 (2022) - [j4]Arshiya Sultana, Wajeeha Begum, Rushda Saeedi, Khaleequr Rahman, Md Belal Bin Heyat, Faijan Akhtar, Ngo Tung Son, Hadaate Ullah:
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. Complex. 2022: 5718501:1-5718501:16 (2022) - 2021
- [c4]Channabasava Chola, Md Belal Bin Heyat, Faijan Akhtar, Omar AlShorman, J. V. Bibal Benifa, Abdulla Yahya Mohammed Muaad, Mahmoud Masadeh, Fahad Alkahatni:
IoT Based Intelligent Computer-Aided Diagnosis and Decision Making System for Health Care. ICIT 2021: 184-189 - [c3]Chiagoziem Chima Ukwuoma, Md Belal Bin Heyat, Mahmoud Masadeh, Faijan Akhtar, Zhiguang Qin, Emmanuel Bondzie-Selby, Omar AlShorman, Fahad Alkahtani:
Image Inpainting and Classification Agent Training Based on Reinforcement Learning and Generative Models with Attention Mechanism. ICM 2021: 96-101 - 2020
- [c2]Bishal Guragai, Omar AlShorman, Mahmoud Masadeh, Md Belal Bin Heyat:
A Survey on Deep Learning Classification Algorithms for Motor Imagery. ICM 2020: 1-4
2010 – 2019
- 2019
- [j3]Dakun Lai, Md Belal Bin Heyat, Faez Iqbal Khan, Yifei Zhang:
Prognosis of Sleep Bruxism Using Power Spectral Density Approach Applied on EEG Signal of Both EMG1-EMG2 and ECG1-ECG2 Channels. IEEE Access 7: 82553-82562 (2019) - [j2]Dakun Lai, Yifei Zhang, Xinshu Zhang, Ye Su, Md Belal Bin Heyat:
An Automated Strategy for Early Risk Identification of Sudden Cardiac Death by Using Machine Learning Approach on Measurable Arrhythmic Risk Markers. IEEE Access 7: 94701-94716 (2019) - [j1]Md Belal Bin Heyat, Dakun Lai, Faez Iqbal Khan, Yifei Zhang:
Sleep Bruxism Detection Using Decision Tree Method by the Combination of C4-P4 and C4-A1 Channels of Scalp EEG. IEEE Access 7: 102542-102553 (2019) - [c1]Dakun Lai, Xinshu Zhang, Yifei Zhang, Md Belal Bin Heyat:
Convolutional Neural Network Based Detection of Atrial Fibrillation Combing R-R intervals and F-wave Frequency Spectrum. EMBC 2019: 4897-4900
Coauthor Index
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last updated on 2024-11-19 20:50 CET by the dblp team
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