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Volumn , Issue , 2013, Pages 81-88

An error-free data collection method exploiting hierarchical physical models of wireless sensor networks

Author keywords

adaptive design; physical model; robust learning; stationarity of sensor data

Indexed keywords

ADAPTIVE DESIGNS; DATA COLLECTION METHOD; ERROR-DETECTION TECHNIQUES; PHYSICAL ENVIRONMENTS; PHYSICAL MODEL; REAL-WORLD IMPLEMENTATION; ROBUST LEARNING; SENSOR DATA;

EID: 84889669008     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2507248.2507255     Document Type: Conference Paper
Times cited : (6)

References (19)
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    • Kamal, A.R.M.1    Bleakley, C.2    Dobson, S.3
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    • K. Ni and G. J. Pottie. Sensor network data fault detection with maximum a posteriori selection and bayesian modeling. ACM Transations on Sensor Networks, 8(3), 2012.
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    • Ni, K.1    Pottie, G.J.2
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    • (2012) A Language and Environment for Statistical Computing
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    • Sensor faults: Detection methods and prevalence in real-world datasets
    • A. Sharma, L. Golubchik, and R. Govindan. Sensor faults: Detection methods and prevalence in real-world datasets. ACM Transactions on Sensor Networks, 6(3):23, 2010.
    • (2010) ACM Transactions on Sensor Networks , vol.6 , Issue.3 , pp. 23
    • Sharma, A.1    Golubchik, L.2    Govindan, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.