The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...
Abstract: To address issues such as missed detections and false positives in safety equipment wear detection tasks caused by complex backgrounds, severe occlusions, and small target sizes, as well as ...
Abstract: This paper introduces two quasi-metrics for performance assessment of multi-object tracking (MOT) algorithms. One quasi-metric is an extension of the generalised optimal subpattern ...
When ‘Oumuamua passed through the solar system, it left scientists with more questions than answers. Now, new observations suggest it may not have been unique. Researchers are identifying objects with ...
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for ...
The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...
Researchers at Spain’s Technical University of Madrid (UPM) developed a model framework to simulate the performance of vehicle integrated photovoltaic (VIPV) modules under realistic dynamic shading ...
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