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, ...
Communications of the ACM

Where Are the City Trees? Monitoring Urban Trees across the U.S. Using Generative AI

The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...
IEEE

Flood Area Segmentation using Using U-Net: A Deep Learning Approach with UAV and Satellite Imagery

Abstract: Flood area segmentation plays a critical role in disaster management and mitigation, providing valuable insights for timely interventions and resource allocation during flood events. This ...
IEEE

Mental Health Prediction of Students Using Machine Learning Method

Abstract: In India, student dropout rates are influenced by a myriad of economic, social, and institutional factors, highlighting the urgent need to address mental health among students. This study ...
IEEE

Plastic Greenhouses Detection from Alsat-2A Satellite Data Using Mask R-CNN

Abstract: Object detection is one of the most important research topics in remote sensing field. To further improve object detection accuracy in remote sensing data, in this paper, Mask R-CNN is ...
IEEE

Real Time Traffic Management System using Mask R-CNN and Dynamic Scheduling Algorithm

Abstract: Conventional manual, semi automated and timed traffic control systems are being replaced by more effective technology based systems. A low cost, real time, automated system is necessary for ...
IEEE

Indian Sign Language Detection for Real-Time Translation using Machine Learning

Abstract: Gestural Language used by deaf and mute communities to communicate by using hand gestures and body movements that rely on visual and spatial patterns known as sign languages. Communication ...
techtimes

AI Healthcare Technology: The Power of Machine Learning Diagnosis in Modern Medicine

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today’s evolving medical landscape. Pixabay, ...