Machine Learning and Isotopes Reveal Hidden Groundwater Pathways in the Tibetan Plateau
Researchers combined self-organizing maps, K-means clustering, and isotope tracing to reveal that groundwater in the Zheduotang alpine gorge of the ...
Researchers combined self-organizing maps, K-means clustering, and isotope tracing to reveal that groundwater in the Zheduotang alpine gorge of the ...
Researchers have adapted a quantum mechanics-based clustering algorithm to segment brain tumors on MRI without needing to predefine the number ...
A post hoc analysis of nearly 3,000 patients with acute schizophrenia identifies three symptom-based subgroups with distinct lipid profiles and ...
A Chinese research team has shown that machine learning analysis of tumor sub-regions and surrounding tissue on non-contrast CT scans ...
A large structural MRI study finds that data-driven symptom phenotypes spanning depression and bipolar disorder map onto distinct, modality-specific patterns ...
A new machine learning study maps Nepal nationwide flood and landslide susceptibility and identifies thousands of square kilometres of connected ...
Researchers converted patent abstracts into semantic embeddings to measure technological similarity between firms and found the resulting network predicts subsequent ...
A Dutch multicentre study used K-means clustering to identify four post-COVID symptom clusters, finding that fatigue-dominated groups consumed more healthcare ...
A 30-year cluster analysis of 637 extreme precipitation days reveals five distinct synoptic regimes driving floods in Türkiye's Western Black ...
A new South Korean study using Blinder-Oaxaca decomposition finds that heat-related health gaps between hot and cool regions are driven ...
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© 2025 Scienmag - Science Magazine