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

CNS & neurological disorders drug targets, 2021-10, Vol.20 (8), p.755

2021

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

Journal of integrative neuroscience, 2022-01, Vol.21 (1), p.20-20

2022

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Role of Oxidative Stress and Inflammation in Insomnia Sleep Disorder and Cardiovascular Diseases: Herbal Antioxidants and Anti-inflammatory Coupled with Insomnia Detection using Machine Learning

Current pharmaceutical design, 2022-01, Vol.28 (45), p.3618

2022

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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

CNS & neurological disorders drug targets, 2023-01, Vol.22 (7), p.1070

2023

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

Biosensors (Basel), 2022-06, Vol.12 (6), p.427

2022

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

Sensors (Basel, Switzerland), 2023-07, Vol.23 (13), p.6090

2023

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

Journal of advanced research, 2023-06, Vol.48, p.191-211

2023

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

Applied sciences, 2020-11, Vol.10 (21), p.7410

2020

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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

Complexity (New York, N.Y.), 2022, Vol.2022, p.1-16

2022

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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

Frontiers in pharmacology, 2024-02, Vol.15, p.1331622-1331622

2024

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

IEEE access, 2022, Vol.10, p.1-1

2022

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

Bioengineering (Basel), 2022-11, Vol.9 (11), p.709

2022

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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

Pharmaceutics, 2023-02, Vol.15 (2), p.643

2023

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

Applied sciences, 2022-02, Vol.12 (3), p.1344

2022

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

Pharmaceuticals (Basel, Switzerland), 2022-11, Vol.15 (11), p.1371

2022

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Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning

Frontiers in chemistry, 2024-04, Vol.12, p.1361980-1361980

2024

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View-Invariant Spatiotemporal Attentive Motion Planning and Control Network for Autonomous Vehicles

Machines (Basel), 2022-12, Vol.10 (12), p.1193

2022

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

Journal of King Saud University. Computer and information sciences, 2024-01, Vol.36 (1), p.101895, Article 101895

2024

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

Diagnostics (Basel), 2022-12, Vol.13 (1), p.87

2022

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

Computational intelligence and neuroscience, 2022-09, Vol.2022, p.1-23

2022

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Progress and trends in neurological disorders research based on deep learning

Computerized medical imaging and graphics, 2024-09, Vol.116, p.102400, Article 102400

2024

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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

BioMed research international, 2023, Vol.2023, p.8726320-14

2023

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

Journal of healthcare engineering, 2022-04, Vol.2022, p.3408501-18

2022

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

Pharmaceutics, 2023-02, Vol.15 (2)

2023

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Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function

Complex & intelligent systems, 2024-04

2024

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

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

Role of Oxidative Stress and Inflammation in Insomnia Sleep Disorder and Cardiovascular Diseases: Herbal Antioxidants and Anti-inflammatory Coupled with Insomnia Detection using Machine Learning

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

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

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

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

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

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

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

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

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

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

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

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

Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning

View-Invariant Spatiotemporal Attentive Motion Planning and Control Network for Autonomous Vehicles

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

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

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

Progress and trends in neurological disorders research based on deep learning

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

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

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

Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function

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