All Stories

  1. Brain MRI detection and classification: Harnessing convolutional neural networks and multi-level thresholding
  2. Aging characterization of thermally aged transformer paper based on its reflectance
  3. BrainCDNet: a concatenated deep neural network for the detection of brain tumors from MRI images
  4. Deep learning for personalized health monitoring and prediction: A review
  5. A New Approach to Data Analysis Using Machine Learning for Cybersecurity
  6. Adaptive Blind Color Image Watermarking Approach using BRISK Features Based on Contour Transform and Convolutional Neural Network
  7. Coronary Artery Disease (CAD) Heart Beats Classification Using Recurrence Plots
  8. Influence of Data Balancing on Transformer DGA Fault Classification With Machine Learning Algorithms
  9. Automated Schizophrenia detection using local descriptors with EEG signals
  10. A Fragile Watermarking Scheme for Image Tamper Detection and Recovery Using Hybrid Transform
  11. Digital Watermarking System for Copyright Protection and Authentication of Images Using Cryptographic Techniques
  12. Multimodal Medical Image Fusion Based on Content-based and PCA-sigmoid
  13. The Fusion of MRI and CT Medical Images Using Variational Mode Decomposition
  14. Schizophrenia Detection in Adolescents from EEG Signals using Symmetrically weighted Local Binary Patterns
  15. Identification and Application of Machine Learning Algorithms for Transformer Dissolved Gas Analysis
  16. Automated detection of shockable ECG signals: A review
  17. Obstructive sleep apnea detection using discrete wavelet transform-based statistical features
  18. Super-Resolution Based on Residual Learning and Optimized Phase Stretch Transform
  19. Patient data hiding into ECG signal using watermarking in transform domain
  20. Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method
  21. Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier
  22. Classification of ECG heartbeats using nonlinear decomposition methods and support vector machine