All Stories

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