Search results for "Disturbance classification"

Found 10 publication records. Showing 10 according to the selection in the facets

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Gabriela S. M. Santos	Combining Multiple Artificial Neural Networks Using Random Committee to Decide upon Electrical Disturbance Classification.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Zhiyong Li 0006, Weilin Wu	Phase Space Reconstruction Based Classification of Power Disturbances Using Support Vector Machines.	PAKDD	2007	DBLP DOI BibTeX RDF	Disturbance classification, Support vector machines, Power quality, Phase space reconstruction
1	Mohammad E. Salem, Azah Mohamed, Salina Abdul Samad	Rule based system for power quality disturbance classification incorporating S-transform features.	Expert Syst. Appl.	2010	DBLP DOI BibTeX RDF
1	T. Jayasree, D. Devaraj, R. Sukanesh	Power quality disturbance classification using Hilbert transform and RBF networks.	Neurocomputing	2010	DBLP DOI BibTeX RDF
1	T. Jayasree, D. Devaraj, R. Sukanesh	Power Quality Disturbance Classification Using S-Transform and Radial Basis Network.	Applied Artificial Intelligence	2009	DBLP DOI BibTeX RDF
1	Bijaya K. Panigrahi, Manas Kumar Mallick, Gourab Ghosh Roy, Prithwish Chakraborty	On Optimal Feature Selection using Modified Harmony Search for Power Quality Disturbance Classification.	NaBIC	2009	DBLP DOI BibTeX RDF
1	Huimin Quan, Yuxing Dai	Power Quality Disturbance Classification Using S-Transform and Decision Tree.	PACIIA	2008	DBLP DOI BibTeX RDF	S-transform, decision tree, power quality
1	Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Gabriela S. M. Santos, Carlos Alberto B. de O. Lira	Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network.	ICANN	2007	DBLP DOI BibTeX RDF	Power Quality Disturbance, Principal Component Analysis, Artificial Neural Network, Wavelet Transform
1	Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Carlos Alberto B. de O. Lira	Improving Disturbance Classification by Combining Multiple Artificial Neural Networks.	IJCNN	2006	DBLP DOI BibTeX RDF
1	Sergio Rapuano, Gioacchino Truglia	An improved image processing-based method for disturbance classification in telecommunication networks.	IEEE T. Instrumentation and Measurement	2005	DBLP DOI BibTeX RDF