Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure, classification of cancers and gene prediction. How do they ...

and neural networks to significantly cut the time required for medical professionals to classify lesions in breast cancer ...

How AI works through data, models, and learning. Discover how small and large AI systems process input and make intelligent ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

The purpose of this study was to develop a method of classifying cancers to specific diagnostic categories based on their gene expression signatures using artificial neural networks (ANNs).

A team of researchers from the Institute for Basic Science, Yonsei University, and the Max Planck Institute have developed a ...

More information: Weixiang Huang et al, Improved neural networks for the classification of microplastics via inferior quality Raman spectra, Talanta (2025). DOI: 10.1016/j.talanta.2025.127756 ...

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...