All Stories

  1. BSDS-ShareCrypt: a blockchain-enabled framework for secure, anonymous, and accountable data sharing in cloud-IoT environments using aggregate key searchable encryption
  2. Efficient blockchain-based mutual remote authentication for enhancing privacy and security in cloud internet of things environment
  3. AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions
  4. Machine learning modeling and analysis of prognostic hub genes in cervical adenocarcinoma: a multi target therapy for enhancement in immunosurveillance
  5. Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images
  6. Artificial intelligence in globesity research: diagnosis, treatment, and prevention solutions for a healthier world with future recommendations
  7. Multimodal fusion of magnetoencephalography and photoacoustic imaging based on optical pump: Trends for wearable and noninvasive Brain–Computer interface
  8. An end-to-end motion artifacts reduction method with 2D convolutional de-noising auto-encoders on ECG signals of wearable flexible biosensors
  9. Unsupervised detection of high-frequency oscillations in intracranial electroencephalogram: promoting a valuable automated diagnostic tool for epilepsy
  10. A novel lightweight deep learning based approaches for the automatic diagnosis of gastrointestinal disease using image processing and knowledge distillation techniques
  11. SVMVGGNet-16: A Novel Machine and Deep Learning Based Approaches for Lung Cancer Detection using Combined SVM and VGGNet-16
  12. A Bibliometric Analysis on Urticaria: Roles of Oxidative Stress, Inflammation, Immunity, and Treatment Modalities
  13. A machine learning-based analysis for the effectiveness of online teaching and learning in Pakistan during COVID-19 lockdown
  14. A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models
  15. Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends
  16. Internet of Things in Healthcare Research: Trends, Innovations, Security Considerations, Challenges and Future Strategy
  17. Deep Convolutional Network‐Based Probabilistic Selection Approach for Multiclassification of Brain Tumors Using Magnetic Resonance Imaging
  18. CRISPR diagnostics for WHO high-priority sexually transmitted infections
  19. Artificial Intelligence for Text Analysis in the Arabic and Related Middle Eastern Languages: Progress, Trends, and Future Recommendations
  20. A Novel Machine and Deep Learning–Based Ensemble Techniques for Automatic Lung Cancer Detection
  21. Artificial Intelligence in Biomedical and Modern Healthcare Informatics
  22. The role of Internet of Things (IoT) technology in modern cultivation for the implementation of greenhouses
  23. Progress and research trends in lumpy skin disease based on the scientometric assessment – a review
  24. Progress and trends in neurological disorders research based on deep learning
  25. Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies
  26. An Intelligent COVID-19-Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation
  27. Feature elimination and stacking framework for accurate heart disease detection in IoT healthcare systems using clinical data
  28. Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function
  29. Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning
  30. 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
  31. 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
  32. Ensemble Technique for Brain Tumor Patient Survival Prediction
  33. Meta-knowledge guided Bayesian optimization framework for robust crop yield estimation
  34. Evaluating CNN Architectures and Hyperparameter Tuning for Enhanced Lung Cancer Detection Using Transfer Learning
  35. ClusterE-ZSL: A Novel Cluster-Based Embeddings for Enhanced Zero-Shot Learning in Contrastive Pre-Training Cross-Model Retrieval
  36. Early Coronary Heart Disease Deciphered via Support Vector Machines: Insights from Experiments
  37. Interweaving Artificial Intelligence and Bio-Signals in Mental Fatigue: Unveiling Dynamics and Future Pathways
  38. Unveiling the Efficacy of Unani Medicine in Female Disorders Through Machine Learning: Current Challenges and Opportunities
  39. Worldwide Research Trends and Hotspot on IOMT Based on Bibliometric Analysis
  40. 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...
  41. FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas
  42. Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
  43. Efficient lossless based secure communication in 6G Internet-of-Things environments
  44. A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
  45. Yoga Meets Intelligent Internet of Things: Recent Challenges and Future Directions
  46. A Hybrid Stacked Restricted Boltzmann Machine with Sobel Directional Patterns for Melanoma Prediction in Colored Skin Images
  47. CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning
  48. 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
  49. SDN-Based Cryptographic Client Authentication: A New Approach to DHCP Starvation Mitigation
  50. A Deep Learning Model for Human Blood Cells Classification
  51. A Survey on X.509 Public-Key Infrastructure, Certificate Revocation, and Their Modern Implementation on Blockchain and Ledger Technologies
  52. A Transfer Learning Based Approach for Sunspot Detection
  53. 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
  54. An Automatic Premature Ventricular Contraction Recognition System Based on Imbalanced Dataset and Pre-Trained Residual Network Using Transfer Learning on ECG Signal
  55. A Novel Smart Belt for Anxiety Detection, Classification, and Reduction Using IIoMT on Students’ Cardiac Signal and MSY
  56. View-Invariant Spatiotemporal Attentive Motion Planning and Control Network for Autonomous Vehicles
  57. A Systematic Review of Virtual Reality and Robot Therapy as Recent Rehabilitation Technologies Using EEG-Brain–Computer Interface Based on Movement-Related Cortical Potentials
  58. 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
  59. Automated Lung-Related Pneumonia and COVID-19 Detection Based on Novel Feature Extraction Framework and Vision Transformer Approaches Using Chest X-ray Images
  60. BCNet: A Deep Learning Computer-Aided Diagnosis Framework for Human Peripheral Blood Cell Identification
  61. A Systematic Review and Meta-Analysis of Premenstrual Syndrome with Special Emphasis on Herbal Medicine and Nutritional Supplements
  62. Current Insights on Bioactive Molecules, Antioxidant, Anti-Inflammatory, and Other Pharmacological Activities of Cinnamomum camphora Linn
  63. An End-to-End Cardiac Arrhythmia Recognition Method with an Effective DenseNet Model on Imbalanced Datasets Using ECG Signal
  64. Role of Inflammation, Oxidative Stress, and Mitochondrial Changes in Premenstrual Psychosomatic Behavioral Symptoms with Anti-Inflammatory, Antioxidant Herbs, and Nutritional Supplements
  65. Wearable Flexible Electronics Based Cardiac Electrode for Researcher Mental Stress Detection System Using Machine Learning Models on Single Lead Electrocardiogram Signal
  66. Design of a Smart Elbow Brace as a Home-Based Rehabilitation Device
  67. Segmentation of Drug-Treated Cell Image and Mitochondrial-Oxidative Stress Using Deep Convolutional Neural Network
  68. Efficacy of Acacia nilotica Linn. Pod’s Sitz Bath plus Vaginal Pessary in Syndromic Management of Abnormal Vaginal Discharge: A Randomized Controlled Trial
  69. An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal
  70. Boosting Breast Cancer Classification from Microscopic Images Using Attention Mechanism
  71. Detection of Oral Cavity Squamous Cell Carcinoma from Normal Epithelium of the Oral Cavity using Microscopic Images
  72. Recent Advancements in Fruit Detection and Classification Using Deep Learning Techniques
  73. Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection
  74. Recognition of mRNA N4 Acetylcytidine (ac4C) by Using Non-Deep vs. Deep Learning
  75. 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...
  76. Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal
  77. Ensembling of Efficient Deep Convolutional Networks and Machine Learning Algorithms for Resource Effective Detection of Tuberculosis Using Thoracic (Chest) Radiography
  78. A review of amenorrhea toward Unani to modern system with emerging technology: Current advancements, research gap, and future direction
  79. An Integrative and Holistic Approach in Premenstrual Syndrome and Premenstrual Dysphoric Disorder Management
  80. Automatic epileptic seizure detection based on the discrete wavelet transform approach using an artificial neural network classifier on the scalp electroencephalogram signal
  81. Contemporary overview of bacterial vaginosis in conventional and complementary and alternative medicine
  82. Recent advancements of pelvic inflammatory disease: A review on evidence-based medicine
  83. Image Inpainting and Classification Agent Training Based on Reinforcement Learning and Generative Models with Attention Mechanism
  84. MMDD-Ensemble: A Multimodal Data–Driven Ensemble Approach for Parkinson's Disease Detection
  85. Machine Learning in E-health: A Comprehensive Survey of Anxiety
  86. Detection, Treatment Planning, and Genetic Predisposition of Bruxism: A Systematic Mapping Process and Network Visualization Technique
  87. IoT Based Intelligent Computer-Aided Diagnosis and Decision Making System for Health Care
  88. A Review of Usability Evaluation Techniques for Augmented Reality Systems in Education
  89. 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
  90. Role of Machine Learning in Human Stress: A Review
  91. A Survey on Deep Learning Classification Algorithms for Motor Imagery
  92. The Effects of Emotional Stress on Learning and Memory Cognitive Functions: An EEG Review Study in Education
  93. Insomnia
  94. A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals
  95. Bruxism Detection Using Single‐Channel C4‐A1 on Human Sleep S2 Stage Recording
  96. Short Time Frequency Analysis of Theta Activity for the Diagnosis of Bruxism on EEG Sleep Record
  97. Potential of Blockchain Technology in Digital Currency: A Review
  98. Convolutional Neural Network Based Detection of Atrial Fibrillation Combing R-R intervals and F-wave Frequency Spectrum
  99. Prognosis of Sleep Bruxism Using Power Spectral Density Approach Applied on EEG Signal of Both EMG1-EMG2 and ECG1-ECG2 Channels
  100. Sleep Bruxism Detection Using Decision Tree Method by the Combination of C4-P4 and C4-A1 Channels of Scalp EEG
  101. An Automated Strategy for Early Risk Identification of Sudden Cardiac Death by Using Machine Learning Approach on Measurable Arrhythmic Risk Markers