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
NeSyChair: Automatic Conference Scheduling Combining Neuro-Symbolic Representations and Constrained Clustering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3144932
Abstract: Creating the schedule for an academic conference is a time-consuming task. A typical conference schedule consists of sessions containing papers addressing the same research topic. To construct a schedule, conference papers must be grouped according… read more here.
Keywords: automatic conference; conference; conference scheduling; constrained clustering ... See more keywords
Adapted sparse fusion with constrained clustering for semisupervised change detection in remotely sensed images
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.11.016013
Abstract: Abstract. Change detection is defined as the process that helps in determining the changes associated with land use and land cover properties with reference to georegistered multitemporal remote sensing data. A unique idea of integrating… read more here.
Keywords: sparse fusion; constrained clustering; change detection; detection ... See more keywords
Optimal distributed interconnectivity of multi-robot systems by spatially-constrained clustering
Sign Up to like & getrecommendations! Published in 2017 at "Adaptive Behavior"
DOI: 10.1177/1059712317700500
Abstract: A spatially-constrained clustering algorithm is presented in this paper. This algorithm is a distributed clustering approach to fine-tune the optimal distances between agents of the system to strengthen the data passing among them using a… read more here.
Keywords: multi; interconnectivity; spatially constrained; multi robot ... See more keywords