All Stories

  1. A Novel Deep Learning-Based Technique for Automatic Source Code Summarization
  2. Firefly-Based Segmentation and Residual Deep Learning for Multi- Class Diabetic Retinopathy Detection
  3. Optimizing ResNet50 and VGG19 Networks for Accurate COPD Diagnosis Through CXR Analysis
  4. Evaluating the Feasibility of a Pre-processing Framework for Enhanced Text Information Extraction from Source Codes
  5. Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models
  6. Leveraging Transfer Learning for Efficient Diagnosis of COPD Using CXR Images and Explainable AI Techniques
  7. The Superiority of Fine-tuning over Full-training for the Efficient Diagnosis of COPD from CXR Images
  8. Advances in Thermal Imaging: A Convolutional Neural Network Approach for Improved Breast Cancer Diagnosis
  9. Reinforcement learning for efficient routing protocol in wireless internet of things
  10. Effective Approach for Fine-Tuning Pre-Trained Models for the Extraction of Texts From Source Codes
  11. xAI: An Explainable AI Model for the Diagnosis of COPD from CXR Images
  12. Semi-supervised technique efficiently labels CXR images, reducing manual labeling needs
  13. COPDNet uses ResNet50 for COPD diagnosis from CXR images, achieving 98.9% recall with explainability
  14. CX-Net uses ensemble learning for lung diagnosis in X-rays, providing accurate, explainable results
  15. Leveraging Transfer Learning for Efficient Diagnosis of Copd Using Cxr Images and Explainable Ai Techniques
  16. A new "i-Net" model shows 99.18% accuracy in diagnosing acute leukemia from blood cell images
  17. Pre-trained medical imaging models, when fine-tuned, match performance of those trained from scratch