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Volumn , Issue , 2010, Pages 1421-1424

Bio-signal analysis system design with support vector machines based on cloud computing service architecture

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SUPPORT; ANALYSIS SYSTEM; ANALYTIC FUNCTIONS; APPROXIMATED ENTROPIES; BIOSIGNALS; CLINICAL DATA; CLOUD COMPUTING; DATA SETS; DIGITAL FORMAT; HEALTH INFORMATION SYSTEMS; HEALTH INFORMATIONS; HETEROGENEOUS PLATFORMS; NATIONAL TAIWAN UNIVERSITY; OPEN-SOURCE; RESEARCH AREAS; SEAMLESS INTEGRATION;

EID: 78650847293     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626713     Document Type: Conference Paper
Times cited : (17)

References (12)
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  • 2
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    • Pincus, S.M.1
  • 5
    • 0031239598 scopus 로고    scopus 로고
    • Comparing middleware concepts for advanced healthcare system architectures
    • DOI 10.1016/S1386-5056(97)00058-0, PII S1386505697000580
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    • Blobel, B.1    Holena, M.2
  • 6
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    • Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
    • I. Güler and E.D. Übeyli, "Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients," Journal of Neuroscience Methods, vol. 148, no. 2, pp. 113-121, 2005.
    • (2005) Journal of Neuroscience Methods , vol.148 , Issue.2 , pp. 113-121
    • Güler, I.1    Übeyli, E.D.2
  • 8
    • 78650837350 scopus 로고    scopus 로고
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  • 9
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    • A study on SMO-type decomposition methods for support vector machines
    • Jan.
    • P. -H. Chen, R. -E. Fan, and C. -J. Lin, "A Study on SMO-type Decomposition Methods for Support Vector Machines," IEEE Trans. Neural Networks, vol. 17 no. 4, pp. 893-908, Jan. 2005.
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.