F. Akhtar

发表

Short Time Frequency Analysis of Theta Activity for the Diagnosis of Bruxism on EEG Sleep Record

Belal Bin Heyat, Dakun Lai, F. Akhtar, 2019 .

Effect of Maha Mrityunjaya HYMN Recitation on Human Brain for the Analysis of Single EEG Channel C4-A1 Using Machine Learning Classifiers on Yoga Practitioner

Md Belal Bin Heyat, Zili You, F. Akhtar, 2020, 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).

Wearable Flexible Electronics Based Cardiac Electrode for Researcher Mental Stress Detection System Using Machine Learning Models on Single Lead Electrocardiogram Signal

Md Belal Bin Heyat, Abdullah Y. Muaad, Dakun Lai, 2022, Biosensors.

Detection of Oral Cavity Squamous Cell Carcinoma from Normal Epithelium of the Oral Cavity using Microscopic Images

Chiagoziem C. Ukwuoma, Md Belal Bin Heyat, C. C. Ukwuoma, 2022, 2022 International Conference on Decision Aid Sciences and Applications (DASA).

Bruxism Detection Using Single‐Channel C4‐A1 on Human Sleep S2 Stage Recording

Md Belal Bin Heyat, Belal Bin Heyat, Dakun Lai, 2020, Intelligent Data Analysis.

Current Insights on Bioactive Molecules, Antioxidant, Anti-Inflammatory, and Other Pharmacological Activities of Cinnamomum camphora Linn

Md Belal Bin Heyat, Seth Christopher Yaw Appiah, Salabat Khan, 2022, Oxidative medicine and cellular longevity.

A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images

M. A. Al-antari, Chiagoziem C. Ukwuoma, C. C. Ukwuoma, 2022, Journal of advanced research.

Role of Machine Learning in Human Stress: A Review

Md Belal Bin Heyat, Rishipal, J. Li, 2020, 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).

Automated Lung-Related Pneumonia and COVID-19 Detection Based on Novel Feature Extraction Framework and Vision Transformer Approaches Using Chest X-ray Images

Md Belal Bin Heyat, Chiagoziem C. Ukwuoma, C. C. Ukwuoma, 2022, Bioengineering.

Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal

Md Belal Bin Heyat, M. A. Ansari, M. A. Al-antari, 2022, IEEE Access.

A Review on use of Sunlight in Human Life

Belal Bin Heyat, F. Akhtar, Shajan Azad, 2017 .

Detection, Treatment Planning, and Genetic Predisposition of Bruxism: A Systematic Mapping Process and Network Visualization Technique.

N. Ullah, Dakun Lai, H. Khan, 2020, CNS & neurological disorders drug targets.

Therapeutic Efficacy of a Formulation Prepared with Linum usitatissimum L., Plantago ovata Forssk., and Honey on Uncomplicated Pelvic Inflammatory Disease Analyzed with Machine Learning Techniques

Md Belal Bin Heyat, A. Haq, F. Akhtar, 2023, Pharmaceutics.

An Automatic Premature Ventricular Contraction Recognition System Based on Imbalanced Dataset and Pre-Trained Residual Network Using Transfer Learning on ECG Signal

Mahdi H. Miraz, Md Belal Bin Heyat, C. C. Ukwuoma, 2022, Diagnostics.

Role of Oxidative Stress and Inflammation in Insomnia Sleep Disorder and Cardiovascular Diseases: Herbal Antioxidants and Anti-inflammatory Coupled with Insomnia Detection Using Machine Learn-ing.

Md Belal Bin Heyat, F. Akhtar, Kaishun Wu, 2022, Current pharmaceutical design.

A Systematic Review and Meta-Analysis of Premenstrual Syndrome with Special Emphasis on Herbal Medicine and Nutritional Supplements

Md Belal Bin Heyat, R. Kunnavil, Isabel de la Torre Díez, 2022, Pharmaceuticals.

An End-to-End Cardiac Arrhythmia Recognition Method with an Effective DenseNet Model on Imbalanced Datasets Using ECG Signal

Md. Sajjatul Islam, Md Belal Bin Heyat, T. Pan, 2022, Computational intelligence and neuroscience.

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

Md Belal Bin Heyat, Ngo Tung Son, F. Akhtar, 2022, Complex..

Segmentation of Drug-Treated Cell Image and Mitochondrial-Oxidative Stress Using Deep Convolutional Neural Network

Muhammad Shahid Iqbal, Md Belal Bin Heyat, Baidenger Agyekum Twumasi, 2022, Oxidative medicine and cellular longevity.

Recognition of mRNA N4 Acetylcytidine (ac4C) by Using Non-Deep vs. Deep Learning

Muhammad Shahid Iqbal, Md Belal Bin Heyat, Muhammad Atif Iqbal, 2022, Applied Sciences.

Role of Inflammation, Oxidative Stress, and Mitochondrial Changes in Premenstrual Psychosomatic Behavioral Symptoms with Anti-Inflammatory, Antioxidant Herbs, and Nutritional Supplements

Md Belal Bin Heyat, F. Akhtar, A. Sultana, 2022, Oxidative medicine and cellular longevity.

Isolation and Characterization of Lactobacillus crispatus, Lactococcus lactis, and Carnobacterium divergens as Potential Probiotic Bacteria from Fermented Black and Green Olives (Olea europaea): An Exploratory Study

Md Belal Bin Heyat, Abdullah Y. Muaad, Abeer Kazmi, 2023, BioMed research international.

An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal

Md. Sajjatul Islam, Abdu H. Gumaei, Md Belal Bin Heyat, 2022, Journal of healthcare engineering.

The Effects of Emotional Stress on Learning and Memory Cognitive Functions: An EEG Review Study in Education

Md Belal Bin Heyat, Rishipal, Omar Alshorman, 2020, 2020 Sixth International Conference on e-Learning (econf).

Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection.

Md Belal Bin Heyat, A. Alexiou, H. Almahasneh, 2022, Journal of integrative neuroscience.

A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals

Dakun Lai, Asif Ali Khan, Faijan Akhtar, 2020, Applied Sciences.

Experimental and Computational Approaches for the Classification and Correlation of Temperament (Mizaj) and Uterine Dystemperament (Su’-I-Mizaj Al-Rahim) in Abnormal VaginalDischarge (SayalanAl-Rahim) Based onClinical Analysis Using Support Vector Machine

Md Belal Bin Heyat, Ngo Tung Son, F. Akhtar, 2022 .

FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas

Md Belal Bin Heyat, Md Belal Bin Heyat, Salabat Khan, 2023, Sensors.

Boosting Breast Cancer Classification from Microscopic Images Using Attention Mechanism

Md Belal Bin Heyat, C. C. Ukwuoma, Z. Qin, 2022, 2022 International Conference on Decision Aid Sciences and Applications (DASA).

Image Inpainting and Classification Agent Training Based on Reinforcement Learning and Generative Models with Attention Mechanism

Md Belal Bin Heyat, C. C. Ukwuoma, Omar Alshorman, 2021, 2021 International Conference on Microelectronics (ICM).

Machine Learning in E-health: A Comprehensive Survey of Anxiety

Md Belal Bin Heyat, Omar Al Shorman, Mahmoud Masadeh, 2021, 2021 International Conference on Data Analytics for Business and Industry (ICDABI).

IoT Based Intelligent Computer-Aided Diagnosis and Decision Making System for Health Care

Md Belal Bin Heyat, Faijan Akhtar, J. V. Bibal Benifa, 2021, 2021 International Conference on Information Technology (ICIT).

Progress in Detection of Insomnia Sleep Disorder: A Comprehensive Review.

M. A. Ansari, Md Belal Bin Heyat, Belal Bin Heyat, 2020, Current drug targets.

Potential of Blockchain Technology in Digital Currency: A Review

Amin Ul Haq, Faijan Akhtar, Jian Ping Li, 2019, 2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing.

Smartphone Addiction among Students and Its Harmful Effects on Mental Health, Oxidative Stress, and Neurodegeneration towards Future Modulation of Anti-Addiction Therapies: A Comprehensive Survey Based on SLR, Research Questions, and Network Visualization Techniques.

Md Belal Bin Heyat, A. Baig, F. Akhtar, 2022, CNS & neurological disorders drug targets.

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

Syed Attique Shah, Md Belal Bin Heyat, Muhammad Hanif Tunio, 2024, J. King Saud Univ. Comput. Inf. Sci..

Progress and trends in neurological disorders research based on deep learning

Md Belal Bin Heyat, Sadiq Hussain, R. Alizadehsani, 2024, Comput. Medical Imaging Graph..

Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies

F. Akhtar, Mohamad Sawan, Md Belal Bin Heyat, 2024, WIREs Data Mining and Knowledge Discovery.

Efficacy of a vaginal suppository formulation prepared with Acacia arabica (Lam.) Willd. gum and Cinnamomum camphora (L.) J. Presl. in heavy menstrual bleeding analyzed using a machine learning technique

F. Akhtar, A. Sultana, Khaleequr Rahman, 2024, Frontiers in pharmacology.