Constrained clustering approaches to identify hydraulic flow units in petroleum reservoirs
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2019.106732
Abstract: Abstract Hydraulic flow units (HFUs) are recognized as volumetric regions that favor the flow of reservoir fluids. Their determination is made possible through correlations between data that are transferred from miscroscale to reservoir scale by… read more here.
Keywords: hydraulic flow; flow units; clustering approaches; petroleum reservoirs ... See more keywords
Conserved Water Networks Identification for Drug Design Using Density Clustering Approaches on Positional and Orientational Data
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Chemical Information and Modeling"
DOI: 10.1021/acs.jcim.2c00801
Abstract: This work describes the development and testing of a method for the identification and classification of conserved water molecules and their networks from molecular dynamics (MD) simulations. The conserved waters in the active sites of… read more here.
Keywords: methodology; water; clustering approaches; water molecules ... See more keywords
Deep learning-based clustering approaches for bioinformatics
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbz170
Abstract: Abstract Clustering is central to many data-driven bioinformatics research and serves a powerful computational method. In particular, clustering helps at analyzing unstructured and high-dimensional data in the form of sequences, expressions, texts and images. Further,… read more here.
Keywords: clustering approaches; deep learning; bioinformatics research; learning based ... See more keywords