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 ...
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 ...
New peer-reviewed research suggests Apple Watch could play a much bigger role in spotting atrial fibrillation. In a real-world study, researchers found that smartwatch-based monitoring caught far more ...
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 ...
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