The research team introduced an enhanced SED method based on semi-supervised learning (SSL), incorporating Enhanced Feature ...
Abstract: Synthetic aperture radar (SAR) ship detection is a popular area in remote sensing, which has broad applications in fishery management, maritime rescue and marine detection. In recent years, ...
T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...
Microsoft is introducing a new scareware sensor for the Microsoft Edge web browser, which helps detect scam pages more quickly and ensures that Defender SmartScreen blocks them faster. In scareware ...
A new tamper detection IP protects one of the most complex physical attack routes by detecting electromagnetic fault injection (EMFI) attacks. The agileEMSensor IP complements Agile Analog’s existing ...
As X-ray detection plays an indispensable role in industrial inspection, medical diagnosis, and security checks, the search for high-performance detection materials has never been more critical.
This repository contains the implementation of EDNet, an improved target detection framework for edge computing on drones. EDNet is an enhanced target detection framework based on improved YOLOv10, ...
Both tech giants bring powerful, feature-packed browsers to the table, but only one can dominate your digital life. We break down the key differences between Chrome and Edge to help you choose the ...
ABSTRACT: 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 ...
A couple of years ago, a curious, then-16-year-old hacker named Reynaldo Vasquez-Garcia was on his laptop at his Portland-area high school, seeing what computer systems he could connect to via the ...
Abstract: Edge detection in images is the foundation of many complex tasks in computer graphics. Due to the feature loss caused by multi-layer convolution and pooling architectures, learning-based ...
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