Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by ...

Glaucoma is a leading cause of blindness among people who are unable to monitor and manage their intraocular pressure (IOP) ...

Abstract: Objective: Walking on irregular terrains is a common situation in everyday life. The accurate detection of gait events is of paramount importance for characterizing and analyzing gait. While ...

ClickFix attacks have evolved to feature videos that guide victims through the self-infection process, a timer to pressure targets into taking risky actions, and automatic detection of the operating ...

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...

Scientists inspired by the octopus's nervous system have developed a robot that can decide how to move or grip objects by sensing its environment. Scientists inspired by the octopus's nervous system ...

Abstract: With the rapid advancement of industrial structures, many factories are deploying anomaly detection systems. However, most existing anomaly detection algorithms are unsuitable for high-noise ...

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.

Customs and Border Protection is continuing to work on developing algorithmic systems to conduct automated inspections of vehicles at the border, with the providers of these systems still in the ...