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Volumn , Issue , 2011, Pages 98-105

Phase difference based RFID navigation for medical applications

Author keywords

[No Author keywords available]

Indexed keywords

CRITICAL APPLICATIONS; DATA SETS; DIFFERENT SIZES; EXPERIMENTAL SETUP; GRID-BASED; MACHINE LEARNING ALGORITHMS; OPERATING RANGES; PHASE DIFFERENCE; SUPPORT VECTOR REGRESSIONS; TRAINING SETS;

EID: 79957471263     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RFID.2011.5764608     Document Type: Conference Paper
Times cited : (42)

References (15)
  • 2
    • 70349563155 scopus 로고    scopus 로고
    • Neuronavigation: Geneology, reality, and prospects
    • Y. Enchev, "Neuronavigation: geneology, reality, and prospects," Neurosurgical FOCUS, vol. 27, no. 3, p. E11, 2009.
    • (2009) Neurosurgical FOCUS , vol.27 , Issue.3
    • Enchev, Y.1
  • 5
    • 70450255449 scopus 로고    scopus 로고
    • RFID localization algorithms and applications - A review
    • J. Zhou and J. Shi, "RFID localization algorithms and applications - a review," Journal of Intelligent Manufacturing, vol. 20, no. 6, pp. 695-707, 2008.
    • (2008) Journal of Intelligent Manufacturing , vol.20 , Issue.6 , pp. 695-707
    • Zhou, J.1    Shi, J.2
  • 11
    • 70349440593 scopus 로고    scopus 로고
    • Performance evaluation of object localization based on active radio frequency identification technology
    • J. Zhou and J. Shi, "Performance evaluation of object localization based on active radio frequency identification technology," Computers in Industry, vol. 60, no. 9, pp. 669-676, 2009.
    • (2009) Computers in Industry , vol.60 , Issue.9 , pp. 669-676
    • Zhou, J.1    Shi, J.2
  • 14
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • A. J. Smola and B. Schölkopf, "A tutorial on support vector regression," Statistics and Computing, vol. 14, no. 3, pp. 199-222, 2004.
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Schölkopf, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.