However, conventional Graph Neural Networks (GNNs) often struggle with accuracy when "extra" or ... introduces three key mechanisms: Extra-node detection using a denormalized matching matrix ...

AI-powered framework combines CNNs and knowledge graphs to detect credit risk early in internet finance firms, enhancing prediction accuracy and decision transparency.

Graph Neural Networks (GNNs): These models ... AI-powered fraud detection minimizes false positives while enhancing fraud detection accuracy. As a technology manager leading AI-based fraud ...

But a new breakthrough in AI cancer detection is pushing accuracy levels to an unprecedented 99 percent, giving doctors a major new tool in the fight. This is a massive leap in accuracy from ...

It processes visual data, filters noise, and highlights potential cancer risks, enhancing detection speed and accuracy. It also shows high accuracy in detecting colorectal, breast, and oral cancers.

Liz González’s neighborhood in East San Jose can be loud. Some of her neighbors apparently want the whole block to hear their cars, others like to light fireworks for every occasion, and ...