Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Facing the looming threat of A.I. as a competitor, some publishers are considering an alternative to the internet’s all-powerful algorithms. By John Markoff Reporting from Palo Alto, Calif. A tech ...
Background: Muscle-invasive bladder cancer (MIBC) is a prevalent cancer characterized by molecular and clinical heterogeneity. Assessing the spatial heterogeneity of the MIBC microenvironment is ...
Rockburst is a dynamic instability disaster occurring in deep underground engineering under high ground stress, caused by the release of elastic strain energy within the surrounding rock during ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Our method for an optical nonvolatile memory element is ...
Abstract: The t-distributed stochastic neighbor embedding (t-SNE) consists of a powerful algorithm for visualizing high-dimensional data in a lower dimensional space. It is extensively employed in ...
Abstract: The timely and accurate diagnosis of severe faults in the high-speed train air compressor is crucial due to the potential for significant safety issues. In response to this problem, this ...
This study presents TopOMetry, an important novel dimensionality reduction method that addresses a signficant challenge in the analysis of single-cell RNA sequencing data. The authors provide ...
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