The research “Detecting Financial Fraud in Real-Time Transactions Using Graph Neural Networks and Anomaly Detection Techniques” presents an AI-driven system for real-time fraud detection in digital ...
In this video, I'm showing two options that one can take to implement a laundry cycle ending detection in their smart home setup. One of the routes is to implement a vibration sensor to detect the ...
City Detect, a company that uses vision AI to help local governments monitor the health of buildings and neighborhoods, announced on Friday a $13 million Series A round led by Prudence Venture Capital ...
The Sun looks steady from 93 million miles away. It rises, sets, and warms the planet. But under that bright surface, it never really sits still. Every 11 years, the Sun moves through a cycle of ...
Sleep Cycle and CMU's Delphi Group have announced a research collaboration focused on understanding how privacy-preserved data and sleep-based signals, such as nighttime cough patterns, may complement ...
Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...
Ukraine's online Delta system has drastically reduced the time needed to detect and engage Russian targets. The battlefield management tool has increased decision-making speed, a top Ukrainian ...
Distributed energy resources (DER) contribute to the operational stability of the larger power grid both at utility-scale as well as commercial and residential scales in aggregated forms. These DER in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results