All Stories

  1. UCapsNet: A Two-Stage Deep Learning Model Using U-Net and Capsule Network for Breast Cancer Segmentation and Classification in Ultrasound Imaging
  2. Evaluating the performance of a non-uniform squash function in Capsule networks for early diabetic retinopathy detection using fundus image analysis
  3. Cloud service prioritization using a Multi-Criteria Decision-Making technique in a cloud computing environment
  4. Prediction of Geopolymer Concrete Compressive Strength Using Convolutional Neural Networks
  5. Ensemble Learning Model for Gender Recognition Using the Human Voice
  6. XCovNet: An optimized xception convolutional neural network for classification of COVID-19 from point-of-care lung ultrasound images
  7. Intelligent diagnostic model for malaria parasite detection and classification using imperative inception-based capsule neural networks
  8. NIPUNA: A Novel Optimizer Activation Function for Deep Neural Networks
  9. Secured and Privacy-Preserving Multi-Authority Access Control System for Cloud-Based Healthcare Data Sharing
  10. A real-life decision-making problem with Hendecagonal fuzzy numbers
  11. Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape
  12. A Simple Attention Block Embedded in Standard CNN for Image Classification
  13. DSCN-net: a deep Siamese capsule neural network model for automatic diagnosis of malaria parasites detection
  14. New Decision-Making Technique Based on Hurwicz Criteria for Fuzzy Ranking
  15. Deep Stacked Ensemble Learning Model for COVID-19 Classification
  16. Artificial Intelligence Based Diagnostic Model for the Detection of Malaria Parasites from Microscopic Blood Images
  17. Imperative Dynamic Routing Between Capsules Network for Malaria Classification
  18. Capsule Networks for Malaria Parasite Classification: An Application Oriented Model
  19. Computer Vision and Machine Learning Approach for Malaria Diagnosis in Thin Blood Smears from Microscopic Blood Images
  20. A Normalized Mean Algorithm for Imputation of Missing Data Values in Medical Databases
  21. A Novel Algorithm for Missing Data Imputation on Machine Learning
  22. A Novel Algorithm for Segmentation of Parasites in Thin Blood Smears From Microscopy Using Type II Fuzzy Sets and Inverse Gaussian Gradient
  23. A Novel Approach of K-SVD-Based Algorithm for Image Denoising
  24. Gaussian Membership Function and Type II Fuzzy Sets Based Approach for Edge Enhancement of Malaria Parasites in Microscopic Blood Images
  25. An efficient approach for imputation and classification of medical data values using class-based clustering of medical records
  26. A New Paradigm for Development of Data Imputation Approach for Missing Value Estimation
  27. Improve the Classifier Accuracy for Continuous Attributes in Biomedical Datasets Using a New Discretization Method
  28. A novel index measure imputation algorithm for missing data values: A machine learning approach
  29. Intelligent Semantic Web Search Engines: A Brief Survey