Analysis based on municipal data identifies seven production clusters and ten consumption clusters, highlighting the need for infrastructure to connect energy and industrial hubs.

ABSTRACT DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised clustering algorithm designed to identify clusters of various shapes and sizes in noisy datasets by ...

Abstract: Maintaining machinery wells, key to groundwater sustainability, is vital for managing these precious resources. In keeping with the need for effective groundwater management, this study ...

BEAVERTON, OR, UNITED STATES, January 27, 2026 /EINPresswire.com/ — Smart Banner Hub LLC today announced the launch of StrokeSense Academy, a complete learning ...

Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...

DETRIM.m Main Entry Point. Executes the hierarchical, multi-window search and iterative clustering. DETRIM_fwd_rev_cluster.m Performs the core clustering for a single time window, including forward ...

LinkedIn support accidentally revealed its algorithm: it tracks "viewer tolerance," reducing visibility for authors whose posts are consistently ignored. To succeed, diversify content types weekly, ...

The increasing complexity of Internet of Things and modern battlefield electromagnetic environments poses significant challenges to radiation source localization, especially under electronic ...

The latest version of Cognitec’s face matching and facial estimation algorithms are integrated into its updated FaceVACS-DBScan ID software release, to make it faster at comparing images against large ...

In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...