Lightweight HI source finding for next generation radio surveys
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Inference from data is of key importance in many applications of informatics. The current trend in performing such a task of inference from data is to utilise machine learning algorithms. Moreover, in many applications that it is either required or is pref ...
Scale and resolution have long been key issues of geography. In recent years, the rapid development of desktop or Internet Geographic Information Systems (GIS) has forced a more precise consideration of these concepts. This research focuses on fitting the ...
Social networks today are great source of data which can be used and analyzed in different ways. In our project the main goal is to predict the behavior of the users, more accurately said: we try to predict what will a particular user tweet in the future, ...
We describe the data processing pipeline of the Planck Low Frequency Instrument (LFI) data processing centre (DPC) to create and characterize full-sky maps based on the first 15.5 months of operations at 30, 44, and 70 GHz. In particular, we discuss the va ...
Summary: Among classical methods for module detection, SpaCEM3 provides ad hoc algorithms that were shown to be particularly well adapted to specific features of biological data: high-dimensionality, interactions between components (genes) and integrated t ...
For four years a robotics festival has taken place at the Ecole Polytechnique Fédérale de Lausanne (EPFL), in Switzerland. As the number of visitors has rapidly grown from a few thousands to a dozen thousands, it gives an opportunity to investigate who is ...
This paper completes the study presented in the accompanying paper, and demonstrates a numerical algorithm for parameter prediction from the piezocone test (CPTU) data. This part deals with a development of neural network (NN) models which are able to map ...
Inferences related to the second-order properties of functional data, as expressed by covariance structure, can become unreliable when the data are non-Gaussian or contain unusual observations. In the functional setting, it is often difficult to identify a ...
The growing importance of economic and environmental issues associated with the replacement of transportation infrastructure creates a demand for new techniques that are able to predict accurately the behaviour of existing structures. While monitoring stru ...
Until now, most efforts to improve monosaccharide production from biomass through pretreatment and enzymatic hydrolysis have used empirical optimization rather than employing a rational design process guided by a theory-based modeling framework. For such a ...
