Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.

This study presents a compact MEMS gas sensor that combines pulsed heating with machine learning, achieving high selectivity ...

Industrial Equipment Fault Detection, Fault Diagnosis, Support Vector Machine, Decision Tree CART, Random Forest Share and Cite: Cai, G. (2025) Research on Fault Detection and Classification of ...

Introduction The current era of artificial intelligence and big data development cause algorithm to dominate various fields including financial organizations along with recruitment agency and police ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

Abstract: Cancer classification based on gene expression data is a critical challenge in modern bioinformatics, requiring efficient and accurate feature selection methods. This study explores the ...

We developed a novel quantum-classical hybrid algorithm to identify small, informative feature sets that incorporate higher-order correlations, potentially revealing previously undetected biological ...

This paper proposes a computer network security intrusion detection algorithm based on the optimization of convolutional neural networks through transfer learning. Initially, a one-dimensional ...

This challenge has motivated many graph classification algorithms in recent years ... atoms (some graphs have atoms represented as *) in the original graphs. Columns 2-3 show the number of positive ...

The three-dimensional case proved to be an extremely hard nut to crack. Over the decades, experts have been able to rule out the possibility that a rotating needle covers a volume with less than 2 ...