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) ...
IEEE

Deep Learning-based Object Localization using Delay-and-Sum Beamformed Ultrasound for Autonomous Driving

Abstract: Object detection is essential for safe autonomous driving systems. While cameras are the most commonly used modality, their performance degrades significantly under low-light or scattering ...
Nature

Deep learning-based object detection of restorative dental instruments with potential implications for workflow automation and infection control in dental supply units

This study presents a proof-of-concept deep learning approach for automated detection and classification of restorative dental instruments on standardized trays, aiming to support workflow automation ...
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 ...
Nature

Integrated deep learning framework for driver distraction detection and real-time road object recognition in advanced driver assistance systems

Most accidents are a result of distractions while driving and road user’s safety is a global concern. The proposed approach integrates advanced deep learning for driver distraction detection with real ...