A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

The subclade K flu strain is a variant of the H3N2 virus. A new influenza strain this flu season is raising concerns as Americans hit the roads and take to the skies ahead of the Thanksgiving holiday, ...

As summer draws to a close and the academic year picks up again, we wanted to take this opportunity to highlight five exciting lab methods published in 2025, covering cell culture, AI, spectroscopy, ...

Hello! Why use the KNN method to calculate the distance of features instead of directly using unsupervised methods on the data itself to identify out-of-distribution (OOD) samples?

Abstract: To reduce the false connections resulting from numerous redundant paths in the fault propagation analysis for industrial processes, an equal probability symbolized k-nearest neighbors ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

1 Department of Mathematics, University of Nairobi, Nairobi, Kenya. 2 African Population and Health Research Center, Nairobi, Kenya. 3 Department of Psychiatry, University of Oxford, Oxford, United ...