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Mike Nkongolo, Jacobus Philippus van Deventer and Sydney Mambwe Kasongo
This research attempts to introduce the production methodology of an anomaly detection dataset using ten desirable requirements. Subsequently, the article presents the produced dataset named UGRansome, created with up-to-date and modern network traffic (...
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Jonas Hofmann, Andreas Knopp, Chad M. Spooner, Giovanni Minelli and James Newman
Challenges in interference-limited satellite detection arising from the low-earth orbit (LEO) and the Industrial, Scientific and Medical (ISM) frequency bands are addressed. In particular, a novel signal presence detector based on cyclostationary signal ...
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Sanaz Roshanmanesh, Farzad Hayati and Mayorkinos Papaelias
In this paper the application of cyclostationary signal processing in conjunction with Ensemble Empirical Mode Decomposition (EEMD) technique, on the fault diagnostics of wind turbine gearboxes is investigated and has been highlighted. It is shown that t...
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Chulsang Yoo and Eunsaem Cho
This study evaluated 20 general circulation models (GCMs) of the Coupled Model Intercomparison Project, Phase 5 (CMIP5), which provide the prediction results for the period of 2006 to 2014, the period from which the observation data (the Global Precipita...
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