scholarly journals Converting Auroral Observations into 3D Structures

Eos ◽  
2022 ◽  
Vol 103 ◽  
Author(s):  
Morgan Rehnberg

Using 1D and 2D data sources as model constraints yields fine-scale insights into real-world aurorae.

2014 ◽  
Vol 9 (1) ◽  
pp. 12-24
Author(s):  
Michael Comerford

The plethora of new data sources, combined with a growing interest in increased access to previously unpublished data, poses a set of ethical challenges regarding individual privacy. This paper sets out one aspect of those challenges: the need to anonymise data in such a form that protects the privacy of individuals while providing sufficient data utility for data users. This issue is discussed using a case study of Scottish Government’s administrative data, in which disclosure risk is examined and data utility is assessed using a potential ‘real-world’ analysis.


Author(s):  
Amit Singh ◽  
Aditi Sharan

This article describes how semantic web data sources follow linked data principles to facilitate efficient information retrieval and knowledge sharing. These data sources may provide complementary, overlapping or contradicting information. In order to integrate these data sources, the authors perform entity linking. Entity linking is an important task of identifying and linking entities across data sources that refer to the same real-world entities. In this work, they have proposed a genetic fuzzy approach to learn linkage rules for entity linking. This method is domain independent, automatic and scalable. Their approach uses fuzzy logic to adapt mutation and crossover rates of genetic programming to ensure guided convergence. The authors' experimental evaluation demonstrates that our approach is competitive and make significant improvements over state of the art methods.


2018 ◽  
Vol 21 ◽  
pp. S475
Author(s):  
S. Mokiou ◽  
Z. Hakimi ◽  
J. Wang-Silvanto ◽  
S. Horsburgh ◽  
S. Chadda

2015 ◽  
Author(s):  
Martin G. Skjjveland ◽  
Martin Giese ◽  
Dag Hovland ◽  
Espen H. Lian ◽  
Arild Waaler

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