1. A Robust Deep Learning Based Hybrid Model to Detect Covid-19 Using Chest X-ray 2. Transfer learning-based approach to detect crop disease using android application 3. A Proposed Sequential Network Analysis for Identification of Hub Genes for Therapeutics in Tuberculosis and Its Overlaying Non-Communicable Disorders 4. Transfer-learning-based Feature Extractor Performance Analysis to Classify Black Gram Leaf Disease 5. Early Prediction of Breast Cancer using Deep Learning Models 6. Chest-InfNet: A Deep Learning Architecture for Lung Diseases Detection and Infected Region Localization from Chest X-Ray Images 7. Ensemble-Based Transfer Learning Approach for Brain Tumor Segmentation from MRI Images 8.

Preventing Skin Cancer through Improved Skin Lesion Recognition: An Attention-Triplet and Multi-Layer Ensemble Based CNN Approach 9. Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning 10. COVID-19 Distance Learning Understanding Classification using Scalogram Based on Transfer Learning and Principal Feature Classifier from EEG Signals 11. Large Ensemble of Transfer-Learned Models for Plant Disease Recognition from Diverse Leaf Images 12. Computer-Aided Strategy to Diagnose Lung Cancer from CTScan Images Using Inception Architecture 13. Automated Bone Age Assessment using Deep Learning with Attention Module 14. Towards Bengali Health Text Identification using Deep Learning Technique 15. Brain Tumor Detection Using Fine-Tuned ResNet-101 on Magnetic Resonance Images 16.

Automated Agricultural Pests Identification using Convolutional Neural Network-based Transfer Learning 17. CTFCP: A Cloud-based Deep Transfer Learning Framework for Analyzing Chest X-Ray Images to Detect Pneumonia.