Hierarchical data driven modelling of binary Black hole mergers

This study was performed using the populations from the Autonomous University of Barcelona (chapter 1 to 4) and from Seva (chapter 5). Foraging on trees by the invasive garden

Second, hierarchical clustering of pancreatic cancer cell lines with primary tumours enabled the translation of drug sensitivity data from cell lines to the tumour subtypes found

In this chapter we briefly motivate manifold learning methods from the point of view of having to deal with high dimensional problems in big data and then we present and analyze

Linked data, enterprise data, data models, big data streams, neural networks, data infrastructures, deep learning, data mining, web of data, signal processing, smart cities,

Separate sets of simulated events are used to model signal and background events in 2016 and 2017 data using the methods described in Sect.. In all distributions, the last bin

The database contains binary information (presence/absence data) on plant-use records for all accepted vascular plant genera described in the 4 th Edition of Mabberley’s

In chapter 3, the overview and challenges of integrative –omics analysis and the main statistical methods that have been used for data integration is described and in chapter

For this purpose, the alcohol-ester and the alcohol- triglyceride binary group interaction parameters were regressed in this work, using experimental phase equilibria data from