Tag: Machine learning

A new method called DNetEx identifies which connections change between two complex networks while mathematically controlling false discoveries, and it ...

Researchers used seven machine-learning models, led by Transformer and LSTM architectures, to reconstruct deep soil temperatures in cold-region canal slopes ...

A brain-inspired spiking neural network that filters and decodes EEG signals can detect mental fatigue in tower crane operators with ...

Researchers have built a transfer-learning ensemble framework that predicts end-of-semester student performance from just the first eight practical sessions, even ...

Researchers in Minna, Nigeria, combined environmental magnetism, geotechnical analysis and machine learning to show that soil magnetic susceptibility reliably predicts ...

A new study shows that a small deep neural network trained on simulations of a classic biophysical model can accurately ...

A new hierarchical cross-attention framework integrates mRNA, microRNA, and DNA methylation data to classify breast cancer subtypes more accurately and ...

Researchers show that a randomly initialized, never-trained graph neural network paired with a lightweight streaming classifier outperforms state-of-the-art methods in ...

A sweeping new survey of 57 studies finds that machine learning and deep learning models report accuracy as high as ...

A new regulatory-aligned evaluation framework shows that the highest-scoring machine learning credit models can collapse under economic stress while a ...