Combining proven inspection techniques with emerging technological solutions and a strong safety culture, airports can ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
As Euro NCAP prepares to roll out its 2026 safety protocol, the automotive industry is facing a fundamental shift, from post-crash protection to pre-collision avoidance. The new requirements introduce ...
Safe Pro Group, a developer of artificial intelligence (AI)-enabled defense and security solutions, has deployed upgraded AI ...
Robot vacuums have steadily improved their cleaning performance and object avoidance over the years, but during our testing at CNET Labs, we discovered an odd trade-off.
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 ...
Streaming services are helping revive America’s most old-fashioned, undigital genre. Charley Crockett, a rising star in the roots-music field, performing in Nashville, Ind., in May.Credit...Kristine ...
Abstract: Object detection in autonomous driving scenarios represents a significant research direction within artificial intelligence. Real-time and accurate object detection and recognition are ...
Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...
Abstract: Object detection in low-light scenarios has a wide range of applications, but existing algorithms often struggle to preserve the scarce low-level features in dark environments and exhibit ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback