Abstract: Object detection is a foundation process in computer vision having widespread applications in autonomous driving, medical diagnostics and security monitoring. Recent advancements and ...
Dr. Sukanya Chakrabarti, the Pei-Ling Chan Endowed Chair in the College of Science at The University of Alabama in Huntsville (UAH), and her team have posted a new paper to the arXiv preprint server ...
Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...
Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors. Physicists have created a new type of radar that could help improve underground imaging, using a cloud of ...
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 ...
Rental truck company Penske denied any awareness of the Department of Homeland Security's use of their vehicles for an immigration raid in Los Angeles after footage of Immigration and Customs ...
Integrating Pathologic Stage and Perioperative Circulating Tumor Cell Variations: Early Relapse Prediction Model for Resectable Non–Small Cell Lung Cancer All study participants simultaneously ...
What made the pulses puzzling to the astronomers was that they came in the form of both radio waves and X-rays. The discovery marks the first time that such objects, called long-period transients, ...
A web-based application for real-time object tracking using YOLOv8 and FastAPI. This project provides a user-friendly interface for uploading and processing videos with state-of-the-art object ...
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