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Volumn 258, Issue , 2018, Pages 1242-1251

Unsupervised On-Line Selection of Training Features for a robust classification with drifting and faulty gas sensors

Author keywords

Adaptive classifier; Drift counteraction; Fault tolerance; Gas sensors array; On line feature selection

Indexed keywords

CHEMICAL SENSORS; CLASSIFICATION (OF INFORMATION); DECISION MAKING; E-LEARNING; FAULT TOLERANCE; GAS DETECTORS; NEAREST NEIGHBOR SEARCH; SENSOR ARRAYS;

EID: 85037695248     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2017.12.005     Document Type: Article
Times cited : (19)

References (29)
  • 2
    • 74049093069 scopus 로고    scopus 로고
    • Controlling uncertainty: a review of human behavior in complex dynamic environments
    • Osman, Magda, Controlling uncertainty: a review of human behavior in complex dynamic environments. Psychol. Bull. 136:1 (2010), 65–86.
    • (2010) Psychol. Bull. , vol.136 , Issue.1 , pp. 65-86
    • Osman, M.1
  • 3
    • 84855455155 scopus 로고    scopus 로고
    • Pattern Classification, Ed
    • John Wiley and Sons inc.
    • Duda, R.O., Hart, P.E., Stork, D.G., Pattern Classification, Ed. 2017, John Wiley and Sons inc.
    • (2017)
    • Duda, R.O.1    Hart, P.E.2    Stork, D.G.3
  • 4
    • 33846516584 scopus 로고    scopus 로고
    • Pattern Recognition and Machine Learning
    • Springer
    • Bishop, C., Pattern Recognition and Machine Learning. 2016, Springer.
    • (2016)
    • Bishop, C.1
  • 5
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Guyon, Isabelle, Elisseef, André, An introduction to variable and feature selection. J. Mach. Learn. Res. 3 (2003), 1157–1182.
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseef, A.2
  • 9
    • 0344141207 scopus 로고    scopus 로고
    • Selection of variables for interpreting multivariate gas sensor data?
    • Eklöv, T., Mårtensson, P., Lundström, I., Selection of variables for interpreting multivariate gas sensor data?. Anal. Chim. Acta 381:2 (1999), 221–232.
    • (1999) Anal. Chim. Acta , vol.381 , Issue.2 , pp. 221-232
    • Eklöv, T.1    Mårtensson, P.2    Lundström, I.3
  • 12
    • 27944490874 scopus 로고    scopus 로고
    • Optimized multi-frequency temperature modulation of microhotplate gas sensors. In Sensors, 2004
    • (IEEE)
    • Vergara, A., Llobet, E., Brezmes, J., Vilanova, X., Stankova, M., Gracia, I., et al. Optimized multi-frequency temperature modulation of microhotplate gas sensors. In Sensors, 2004. Proc. IEEE, 2004, 1392–1395 (IEEE).
    • (2004) Proc. IEEE , pp. 1392-1395
    • Vergara, A.1    Llobet, E.2    Brezmes, J.3    Vilanova, X.4    Stankova, M.5    Gracia, I.6
  • 15
    • 34249889990 scopus 로고    scopus 로고
    • An alternative global feature extraction of temperature modulated micro-hotplate gas sensors array using an energy vector approach
    • Vergara, A., Martinelli, E., Llobet, E., Giannini, F., D'Amico, A., Di Natale, C., An alternative global feature extraction of temperature modulated micro-hotplate gas sensors array using an energy vector approach. Sens. Actuators B 124:2 (2007), 352–359.
    • (2007) Sens. Actuators B , vol.124 , Issue.2 , pp. 352-359
    • Vergara, A.1    Martinelli, E.2    Llobet, E.3    Giannini, F.4    D'Amico, A.5    Di Natale, C.6
  • 20
    • 84892391727 scopus 로고    scopus 로고
    • Drift compensation for electronic nose by semi-supervised domain adaption
    • Liu, Q., Li, X., Ye, M., Ge, S.S., Du, X., Drift compensation for electronic nose by semi-supervised domain adaption. IEEE Sens. J. 14 (2014), 657–665.
    • (2014) IEEE Sens. J. , vol.14 , pp. 657-665
    • Liu, Q.1    Li, X.2    Ye, M.3    Ge, S.S.4    Du, X.5
  • 23
    • 84867701713 scopus 로고    scopus 로고
    • Signal and data processing for machine olfaction and chemical sensing: a review
    • Marco, S., Gutierrez-Galvez, A., Signal and data processing for machine olfaction and chemical sensing: a review. IEEE Sens. J. 12:11 (2012), 3189–3214.
    • (2012) IEEE Sens. J. , vol.12 , Issue.11 , pp. 3189-3214
    • Marco, S.1    Gutierrez-Galvez, A.2
  • 26
    • 84898966510 scopus 로고    scopus 로고
    • Cooperative classifiers for reconfigurable sensor arrays
    • (Elsevier)
    • Martinelli, E., Magna, G., Vergara, A., Di Natale, C., Cooperative classifiers for reconfigurable sensor arrays. Sens. Actuators B 199 (2014), 83–92 (Elsevier).
    • (2014) Sens. Actuators B , vol.199 , pp. 83-92
    • Martinelli, E.1    Magna, G.2    Vergara, A.3    Di Natale, C.4
  • 27
    • 84984942574 scopus 로고    scopus 로고
    • An on-line reconfigurable classification algorithm improves the long-term stability of gas sensor arrays in case of faulty and drifting sensors
    • (Elsevier)
    • Magna, G., Mosciano, F., Martinelli, E., Di Natale, C., An on-line reconfigurable classification algorithm improves the long-term stability of gas sensor arrays in case of faulty and drifting sensors. Procedia Eng. 120 (2015), 249–252 (Elsevier).
    • (2015) Procedia Eng. , vol.120 , pp. 249-252
    • Magna, G.1    Mosciano, F.2    Martinelli, E.3    Di Natale, C.4
  • 28
    • 84871882849 scopus 로고    scopus 로고
    • An adaptive classification model based on the Artificial Immune System for chemical sensor drift mitigation
    • Martinelli, E., Magna, G., De Vito, S., Di Fuccio, R., Di Francia, G., Vergara, A., Di Natale, C., An adaptive classification model based on the Artificial Immune System for chemical sensor drift mitigation. Sens. Actuators B 177 (2013), 1017–1026.
    • (2013) Sens. Actuators B , vol.177 , pp. 1017-1026
    • Martinelli, E.1    Magna, G.2    De Vito, S.3    Di Fuccio, R.4    Di Francia, G.5    Vergara, A.6    Di Natale, C.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.