IEEE

Comparative Review on Image Dehazing Methods Using Deep Learning Approach for Vision-Based Applications

Abstract: Vision-based applications such as traffic management, public area surveillance, and environmental monitoring require clear and accurate visual data from cameras to provide better services to ...
IEEE

Damaged Artwork Restoration Using Mask R-CNN and CA-GAN

Abstract: Art restoration plays a vital role in preserving cultural heritage and maintaining the beauty and history of damaged artwork. Traditional methods require experts, making the process ...
IEEE

UnSegMedGAT: Unsupervised Medical Image Segmentation Using Graph Attention Networks Clustering

Abstract: The data-intensive nature of supervised classification drives the interest of the researchers towards unsupervised approaches, especially for problems such as medical image segmentation, ...
IEEE

Chronic Kidney Disease Prediction Using Machine Learning and Deep Learning Models

Abstract: Chronic kidney disease is a noticeable health condition that can persist throughout an individual’s life, resulting from either kidney malignancy or diminished kidney function. In this work, ...