Nature

An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal

Manco et al. 39 propose an unsupervised fault explanation system based on features with abnormal values. Allah Bukhsh et al. 46 present an explainable classifier for railway switches using decision ...
Phys.org

Machine learning approach simulates geochemical element concentrations in rocks and stream sediments

Published in Ore Geology Reviews, their work uses machine learning to address the challenges posed by limited geochemical data. Geochemical data play a crucial role in various scientific domains and ...
Nature

Multi-stream deep learning framework integrating images and feature representations to predict mild cognitive impairment using the rey complex figure test

Drawing tests like the Rey complex figure test (RCFT) are widely used to assess cognitive functions such as visuospatial skills and memory, making them valuable tools for detecting mild cognitive ...