Frontiers

Early detection of brain pathologies through deep learning and advanced neuroimaging approaches

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...
IEEE

A Comprehensive Study On Underwater Object Detection Using Deep Neural Networks

Abstract: The escalating crisis of marine pollution, especially the buildup of underwater waste, poses a significant threat to ocean ecosystems and marine life. Identifying and removing submerged ...
IEEE

A Deep Learning-Based Method for Object Workpiece Recognition and Grasp Detection

Abstract: Accurate and stable target detection is crucial for robotic grasping tasks under uneven lighting conditions. To address this, this paper proposes a target object detection network (YOLO-Net) ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...