A study analyzing data from thousands of Brazilian municipalities identified regions with the greatest potential for producing and using green ...

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 ...

There were some changes to the recently updated OWASP Top 10 list, including the addition of supply chain risks. But old standbys, like broken access control, are still at the top. Software supply ...

Abstract: DBSCAN is a well-known clustering algorithm which is based on density and is able to identify arbitrary shaped clusters and eliminate noise data. However, existing parallel implementation ...

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 ...

Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...

Airline source-to-pay (S2P) transformation shifts procurement from fragmented cost control to integrated value realization by connecting contracts, systems,… From cost control to value realization: ...

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

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...