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

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 ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The discovery of functional small molecules, chemical matter ...

Fawn Weaver, founder and CEO of Uncle Nearest, autographs a bottle of Uncle Nearest before the Florida A&M University Commencement Ceremony at Florida A&M University on 3 May 2025. Credit: Glenn ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...

Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...