An Automated Strategy for Early Risk Identification of Sudden Cardiac Death by using Machine Learning Approach on Measurable Arrhythmic Risk Markers D Lai, Y Zhang, X Zhang, Y Su, MBB Heyat IEEE Access 7 (1), 94701-94716, 2019 | 102 | 2019 |
Recent advancements in fruit detection and classification using deep learning techniques CC Ukwuoma, Q Zhiguang, MB Bin Heyat, L Ali, Z Almaspoor, ... Mathematical Problems in Engineering 2022 (1), 9210947, 2022 | 96 | 2022 |
Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection O Alshorman, M Masadeh, MBB Heyat, F Akhtar, H Almahasneh, ... Journal of Integrative Neuroscience 21 (1), 1-11, 2022 | 80 | 2022 |
Sleep bruxism detection using decision tree method by the combination of C4-P4 and C4-A1 channels of scalp EEG MBB Heyat, D Lai, FI Khan, Y Zhang IEEE Access 7, 102542-102553, 2019 | 73 | 2019 |
A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images CC Ukwuoma, Z Qin, MBB Heyat, F Akhtar, O Bamisile, AY Muaad, ... Journal of Advanced Research 48, 191-211, 2023 | 68 | 2023 |
Prognosis of sleep bruxism using power spectral density approach applied on EEG signal of both EMG1-EMG2 and ECG1-ECG2 channels D Lai, MBB Heyat, FI Khan, Y Zhang Ieee Access 7, 82553-82562, 2019 | 66 | 2019 |
Progress in Detection of Insomnia Sleep Disorder: A Comprehensive Review. MBB Heyat, H Khan, D Lai, F Akhtar, MA Ansari, A Khan, F Alkahtani Current Drug Targets, 2020 | 59* | 2020 |
A novel hybrid machine learning classification for the detection of bruxism patients using physiological signals MB Bin Heyat, F Akhtar, A Khan, A Noor, B Benjdira, Y Qamar, SJ Abbas, ... Applied Sciences 10 (21), 7410, 2020 | 54 | 2020 |
CT‐based automatic spine segmentation using patch‐based deep learning SF Qadri, H Lin, L Shen, M Ahmad, S Qadri, S Khan, M Khan, SS Zareen, ... International Journal of Intelligent Systems 2023 (1), 2345835, 2023 | 51 | 2023 |
Wearable flexible electronics based cardiac electrode for researcher mental stress detection system using machine learning models on single lead electrocardiogram signal MB Bin Heyat, F Akhtar, SJ Abbas, M Al-Sarem, A Alqarafi, A Stalin, ... Biosensors 12 (6), 427, 2022 | 51 | 2022 |
A survey on deep learning classification algorithms for motor imagery B Guragai, O AlShorman, M Masadeh, MBB Heyat 2020 32nd international conference on microelectronics (ICM), 1-4, 2020 | 47 | 2020 |
Detection, Treatment Planning, and Genetic Predisposition of Bruxism: A Systematic Mapping Process and Network Visualization Technique. MBB Heyat, F Akhtar, ... CNS & Neurological Disorders Drug Targets, 2020 | 43 | 2020 |
MMDD-Ensemble: A Multimodal Data–Driven Ensemble Approach for Parkinson's Disease Detection L Ali, Z He, W Cao, HT Rauf, Y Imrana, MB Bin Heyat Frontiers in Neuroscience 15, 754058, 2021 | 42 | 2021 |
Role of machine learning in human stress: a review F Akhtar, MBB Heyat, JP Li, PK Patel, B Guragai 2020 17th International Computer Conference on Wavelet Active Media …, 2020 | 41 | 2020 |
Convolutional neural network based detection of atrial fibrillation combing RR intervals and F-wave frequency spectrum D Lai, X Zhang, Y Zhang, MBB Heyat 2019 41st annual international conference of the IEEE engineering in …, 2019 | 38 | 2019 |
IoT based intelligent computer-aided diagnosis and decision making system for health care C Chola, MBB Heyat, F Akhtar, O Al Shorman, BB JV, AYM Muaad, ... 2021 International Conference on Information Technology (ICIT), 184-189, 2021 | 35 | 2021 |
Recording of EEG, ECG, EMG Signal MB Heyat, MM Siddiqui International Journal of Advanced Research in Computer Science and Software …, 2015 | 35 | 2015 |
Insomnia: Medical Sleep Disorder & Diagnosis MBB Heyat Anchor Academic Publishing, Hamburg, Germany, 2017 | 32 | 2017 |
Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images CC Ukwuoma, D Cai, MBB Heyat, O Bamisile, H Adun, Z Al-Huda, ... Journal of King Saud University-Computer and Information Sciences 35 (7), 101596, 2023 | 31 | 2023 |
BCNet: A Deep Learning Computer-Aided Diagnosis Framework for Human Peripheral Blood Cell Identification C Chola, AY Muaad, MB Bin Heyat, JVB Benifa, WR Naji, ... Diagnostics 12 (11), 2815, 2022 | 28 | 2022 |