Author(s): Amine El Mahdi Safhi

This manuscript delineates the assembly and structure of an extensive dataset encompassing more than 2500 self-consolidating concrete (SCC) mixtures, meticulously compiled from 176 scholarly sources. The dataset has been subjected to a thorough curation pro ...

Article GUID: 38533116

Author(s): Al-Bazzaz H; Azam M; Amayri M; Bouguila N;

Smart meter datasets have recently transitioned from monthly intervals to one-second granularity, yielding invaluable insights for diverse metering functions. Clustering analysis, a fundamental data mining technique, is extensively applied to discern unique ...

Article GUID: 37837127

Author(s): Bourouis S; Pawar Y; Bouguila N;

Finite Gamma mixture models have proved to be flexible and can take prior information into account to improve generalization capability, which make them interesting for several machine learning and data mining applications. In this study, an efficient Gamma ...

Article GUID: 35009726

Author(s): Morel E; Cui L; Zerges W; Wilkinson KJ;

In order to better understand the environmental risks of the rare earth elements (REEs), it is necessary to determine their fate and biological effects under environmentally relevant conditions (e.g. at low concentrations, REE mixtures). Here, the unicellul ...

Article GUID: 34175518

Author(s): Shafiei M, Dunn KA, Boon E, MacDonald SM, Walsh DA, Gu H, Bielawski JP

Microbiome. 2015;3:8 Authors: Shafiei M, Dunn KA, Boon E, MacDonald SM, Walsh DA, Gu H, Bielawski JP

Article GUID: 25774293