Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Khushaba, R. N."'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Confusion matrices obtained with an LDA classifier when using the STW framework to extract features from the sensory ENG data. The confusion matrices are shown for the six datasets tested in this study. The classes correspond to the six proprioceptio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6f6435472524eebd8f1f82696135b64
Autor:
Khushaba, R. N.1 rkhushab@eng.uts.edu.au, AlSukkera, A.1, Al-Ania, A.1, Al-Jumailya, A.1, Zomaya, A. Y.2
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2009, Vol. 20 Issue 4/5, p175-185. 11p. 1 Black and White Photograph, 4 Diagrams, 4 Graphs.
Publikováno v:
Scopus-Elsevier
The myoelectric signals (MES) from human muscles have been utilized in many applications such as prosthesis control. The identification of various MES temporal structures is used to control the movement of prosthetic devices by utilizing a pattern re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7c0973a9f83bac76ecf866f24ef5abc2
http://www.scopus.com/inward/record.url?eid=2-s2.0-62949162782&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-62949162782&partnerID=MN8TOARS
Publikováno v:
Scopus-Elsevier
Feature selection is an indispensable pre-processing step when mining huge datasets that can significantly improve the overall system performance. This paper presents a novel feature selection method that utilizes both the Ant Colony Optimization (AC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::66d2b78157a75cb5d9b662a6085552e7
http://www.scopus.com/inward/record.url?eid=2-s2.0-63149151230&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-63149151230&partnerID=MN8TOARS