All Stories

  1. DNA Steganography to Enhance Security in Banking Sector
  2. A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals
  3. DNA Steganography: Embedding the Secret Messages Using Glass Stack Method and Detecting Errors Made by Different Attacks
  4. Sequential graph convolutional network and DeepRNN based hybrid framework for epileptic seizure detection from EEG signal
  5. Increasing embedding capacity of stego images by exploiting edge pixels in prediction error space
  6. Protecting health data in the cloud through steganography: A table-driven, blind method using neural networks and bit-shuffling algorithm
  7. Explainable indoor localization of BLE devices through RSSI using recursive continuous wavelet transformation and XGBoost classifier
  8. A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method
  9. An Efficient Use of Toffoli Quantum Gate for Boosting the Embedding Capacity in DNA Sequence
  10. Novel Algorithm for Multi-Time Data Implantation in a Special Cyber-Manufacturing Architecture
  11. A Multi-Path Based Embedding Scheme at Perfect Maze
  12. An Edge Detection Based Reversible Data Hiding Scheme
  13. Uses of Local Binary Pattern Codes for Enriching the Embedding Performance
  14. Image Steganography System based on Hybrid Edge Detector
  15. Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19
  16. Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development
  17. A Block Mean Insertion and Dual Stego Generation Based Embedding Strategy
  18. Lung cancer detection using enhanced segmentation accuracy
  19. An embedding technique for smartcard-supported e-healthcare services
  20. A prediction error based histogram association and mapping technique for data embedment
  21. An image distortion-based enhanced embedding scheme
  22. Enhancing embedding capacity and stego image quality by employing multi predictors
  23. Enhancing the Performance of the Data Embedment Process through Encoding Errors
  24. Boosting up the data hiding rate through multi cycle embedment process
  25. Enhancing the Robustness of Visual Degradation Based HAM Reversible Data Hiding
  26. Enhancing the embedding payload by handling the affair of association and mapping of block pixels through prediction errors histogram
  27. Capacity improvement of reversible data hiding scheme through better prediction and double cycle embedding process
  28. Image steganograpy for the e-medicine service.