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1. A Survey of the Self Supervised Learning Mechanisms for Vision Transformers

2. Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation

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3. Particle Multi-Axis Transformer for Jet Tagging

4. A Recent Survey of Vision Transformers for Medical Image Segmentation

6. CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images

7. A survey of the Vision Transformers and their CNN-Transformer based Variants

8. MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation

9. Deep Neural Networks based Meta-Learning for Network Intrusion Detection

10. Early Risk Prediction of Chronic Myeloid Leukemia with Protein Sequences using Machine Learning-based Meta-Ensemble

11. Traffic Management of Autonomous Vehicles using Policy Based Deep Reinforcement Learning and Intelligent Routing

14. A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

15. Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles

16. IoT Malware Detection Architecture using a Novel Channel Boosted and Squeezed CNN

17. A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI

18. Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder

19. FANCA: In-Silico deleterious mutation analysis for early prediction of leukemia

20. Malware Classification Using Deep Boosted Learning

24. COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN

25. Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks

26. Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks

27. Deep Object Detection based Mitosis Analysis in Breast Cancer Histopathological Images

28. Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture

32. Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique

33. Ransomware Analysis using Feature Engineering and Deep Neural Networks

34. Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry

35. A Recent Survey on the Applications of Genetic Programming in Image Processing

36. A Survey of the Recent Architectures of Deep Convolutional Neural Networks

38. Adaptive Transfer Learning in Deep Neural Networks: Wind Power Prediction using Knowledge Transfer from Region to Region and Between Different Task Domains

39. Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power

40. A New Channel Boosted Convolutional Neural Network using Transfer Learning

46. A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron.