Modern smart collars have evolved from simple GPS trackers to sophisticated biometric instruments capable of early disease ...
Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...
In a market accelerating toward instant payments and open banking, a siloed approach to fraud detection is no longer viable.
A team of researchers from the Shanghai Institute of Applied Physics, Chinese Academy of Sciences, has developed an ...
CrowdStrike gets a Buy rating as AI-driven, cloud-native network effects fuel retention and growth—plus key risks to watch.
Mammotion Luba Mini AWD LiDAR: full review of the cordless robotic lawnmower for gardens up to 1500 m². Tri-Fusion LiDAR ...
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 ...
Abstract: Aiming at the problems of low visibility, fuzzy target features and high leakage rate of small targets in nighttime vehicle detection, this paper proposes a nighttime vehicle detection ...
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: Aiming at the problem of low accuracy in solder joint defect detection caused by the complex background and difficult to extract defect features of circuit boards using through-hole ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback