Researchers develop a lightweight algorithm designed to reorganise network connections to enable secure, low-latency data ...
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 ...
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 ...
On Instagram, AI tools will detect underage users and automatically change their account settings. On Instagram, AI tools will detect underage users and automatically change their account settings. is ...
HTM-CDFK: An Online Industrial Control Anomaly Detection Algorithm based on Hierarchical Time Memory
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 ...
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 ...
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