Neural networks are called "black boxes." This means that while you get an answer when you input data, you cannot see what is happening inside.However, you can peek inside smaller networks. What is a ...

A low-cost wrist wearable running an optimized random forest model on-device detected simulated convulsive and non-convulsive ...

A supervised graph-learning model combining metapath embeddings, graph convolution and attention outperformed 12 baselines on the DBLP and ACM academic-network benchmarks.

Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving accuracy and reducing false trips, for edge deployment. Learn how embedded ...

The core file description is as follows: We have provided the complete implementation codes of three core innovative modules of GDD-YOLO, which are the key to optimizing the accuracy and computational ...

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

Contextuality is a hallmark feature of the quantum theory that captures its incompatibility with any noncontextual hidden-variable model. The Greenberger-Horne-Zeilinger (GHZ)–type paradoxes are ...