All Stories

  1. A novel lightweight deep learning based approaches for the automatic diagnosis of gastrointestinal disease using image processing and knowledge distillation techniques
  2. A machine learning-based analysis for the effectiveness of online teaching and learning in Pakistan during COVID-19 lockdown
  3. Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends
  4. Progress and trends in neurological disorders research based on deep learning
  5. Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies
  6. An Intelligent COVID-19-Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation
  7. Feature elimination and stacking framework for accurate heart disease detection in IoT healthcare systems using clinical data
  8. Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function
  9. Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning
  10. Efficacy of Marham-e-Dakhilyun Ointment and Alum Perineal Wash for Perineal Wound Healing and Pain Intensity in Postpartum Women: A Self-control Clinical Trial
  11. 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
  12. Ensemble Technique for Brain Tumor Patient Survival Prediction
  13. Meta-knowledge guided Bayesian optimization framework for robust crop yield estimation
  14. Evaluating CNN Architectures and Hyperparameter Tuning for Enhanced Lung Cancer Detection Using Transfer Learning
  15. ClusterE-ZSL: A Novel Cluster-Based Embeddings for Enhanced Zero-Shot Learning in Contrastive Pre-Training Cross-Model Retrieval
  16. Early Coronary Heart Disease Deciphered via Support Vector Machines: Insights from Experiments
  17. Interweaving Artificial Intelligence and Bio-Signals in Mental Fatigue: Unveiling Dynamics and Future Pathways
  18. Unveiling the Efficacy of Unani Medicine in Female Disorders Through Machine Learning: Current Challenges and Opportunities
  19. Worldwide Research Trends and Hotspot on IOMT Based on Bibliometric Analysis
  20. 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 Visualizat...
  21. FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas
  22. Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
  23. Efficient lossless based secure communication in 6G Internet-of-Things environments
  24. A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
  25. Yoga Meets Intelligent Internet of Things: Recent Challenges and Future Directions
  26. A Hybrid Stacked Restricted Boltzmann Machine with Sobel Directional Patterns for Melanoma Prediction in Colored Skin Images
  27. CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning
  28. 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
  29. A Deep Learning Model for Human Blood Cells Classification
  30. A Survey on X.509 Public-Key Infrastructure, Certificate Revocation, and Their Modern Implementation on Blockchain and Ledger Technologies
  31. A Transfer Learning Based Approach for Sunspot Detection
  32. 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
  33. An Automatic Premature Ventricular Contraction Recognition System Based on Imbalanced Dataset and Pre-Trained Residual Network Using Transfer Learning on ECG Signal
  34. A Novel Smart Belt for Anxiety Detection, Classification, and Reduction Using IIoMT on Students’ Cardiac Signal and MSY
  35. View-Invariant Spatiotemporal Attentive Motion Planning and Control Network for Autonomous Vehicles
  36. A Systematic Review of Virtual Reality and Robot Therapy as Recent Rehabilitation Technologies Using EEG-Brain–Computer Interface Based on Movement-Related Cortical Potentials
  37. 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
  38. Automated Lung-Related Pneumonia and COVID-19 Detection Based on Novel Feature Extraction Framework and Vision Transformer Approaches Using Chest X-ray Images
  39. BCNet: A Deep Learning Computer-Aided Diagnosis Framework for Human Peripheral Blood Cell Identification
  40. A Systematic Review and Meta-Analysis of Premenstrual Syndrome with Special Emphasis on Herbal Medicine and Nutritional Supplements
  41. Current Insights on Bioactive Molecules, Antioxidant, Anti-Inflammatory, and Other Pharmacological Activities of Cinnamomum camphora Linn
  42. An End-to-End Cardiac Arrhythmia Recognition Method with an Effective DenseNet Model on Imbalanced Datasets Using ECG Signal
  43. Role of Inflammation, Oxidative Stress, and Mitochondrial Changes in Premenstrual Psychosomatic Behavioral Symptoms with Anti-Inflammatory, Antioxidant Herbs, and Nutritional Supplements
  44. Wearable Flexible Electronics Based Cardiac Electrode for Researcher Mental Stress Detection System Using Machine Learning Models on Single Lead Electrocardiogram Signal
  45. Design of a Smart Elbow Brace as a Home-Based Rehabilitation Device
  46. Segmentation of Drug-Treated Cell Image and Mitochondrial-Oxidative Stress Using Deep Convolutional Neural Network
  47. Efficacy of Acacia nilotica Linn. Pod’s Sitz Bath plus Vaginal Pessary in Syndromic Management of Abnormal Vaginal Discharge: A Randomized Controlled Trial
  48. An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal
  49. Boosting Breast Cancer Classification from Microscopic Images Using Attention Mechanism
  50. Detection of Oral Cavity Squamous Cell Carcinoma from Normal Epithelium of the Oral Cavity using Microscopic Images
  51. Recent Advancements in Fruit Detection and Classification Using Deep Learning Techniques
  52. Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection
  53. Recognition of mRNA N4 Acetylcytidine (ac4C) by Using Non-Deep vs. Deep Learning
  54. 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 U...
  55. Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal
  56. Ensembling of Efficient Deep Convolutional Networks and Machine Learning Algorithms for Resource Effective Detection of Tuberculosis Using Thoracic (Chest) Radiography
  57. MMDD-Ensemble: A Multimodal Data–Driven Ensemble Approach for Parkinson's Disease Detection
  58. Machine Learning in E-health: A Comprehensive Survey of Anxiety
  59. Detection, Treatment Planning, and Genetic Predisposition of Bruxism: A Systematic Mapping Process and Network Visualization Technique
  60. IoT Based Intelligent Computer-Aided Diagnosis and Decision Making System for Health Care
  61. A Review of Usability Evaluation Techniques for Augmented Reality Systems in Education
  62. 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
  63. Role of Machine Learning in Human Stress: A Review
  64. A Survey on Deep Learning Classification Algorithms for Motor Imagery
  65. Insomnia
  66. A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals
  67. Short Time Frequency Analysis of Theta Activity for the Diagnosis of Bruxism on EEG Sleep Record
  68. Potential of Blockchain Technology in Digital Currency: A Review
  69. Convolutional Neural Network Based Detection of Atrial Fibrillation Combing R-R intervals and F-wave Frequency Spectrum
  70. Prognosis of Sleep Bruxism Using Power Spectral Density Approach Applied on EEG Signal of Both EMG1-EMG2 and ECG1-ECG2 Channels
  71. Sleep Bruxism Detection Using Decision Tree Method by the Combination of C4-P4 and C4-A1 Channels of Scalp EEG
  72. An Automated Strategy for Early Risk Identification of Sudden Cardiac Death by Using Machine Learning Approach on Measurable Arrhythmic Risk Markers