{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T20:03:45Z","timestamp":1773777825889,"version":"3.50.1"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319393148","type":"print"},{"value":"9783319393155","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-39315-5_11","type":"book-chapter","created":{"date-parts":[[2016,5,17]],"date-time":"2016-05-17T11:33:25Z","timestamp":1463484805000},"page":"163-178","source":"Crossref","is-referenced-by-count":5,"title":["Spectral Features for Audio Based Vehicle Identification"],"prefix":"10.1007","author":[{"given":"Alicja","family":"Wieczorkowska","sequence":"first","affiliation":[]},{"given":"El\u017cbieta","family":"Kubera","sequence":"additional","affiliation":[]},{"given":"Tomasz","family":"S\u0142owik","sequence":"additional","affiliation":[]},{"given":"Krzysztof","family":"Skrzypiec","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,5,18]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.neucom.2014.11.019","volume":"152","author":"E Alexandre","year":"2015","unstructured":"Alexandre, E., Cuadra, L., Salcedo-Sanz, S., Pastor-S\u00e1nchez, A., Casanova-Mateo, C.: Hybridizing extreme learning machines and genetic algorithms to select acoustic features in vehicle classification applications. Neurocomputing 152, 58\u201368 (2015)","journal-title":"Neurocomputing"},{"issue":"8","key":"11_CR2","doi-asserted-by":"crossref","first-page":"65","DOI":"10.5755\/j01.eee.18.8.2632","volume":"18","author":"J Berdnikova","year":"2012","unstructured":"Berdnikova, J., Ruuben, T., Kozevnikov, V., Astapov, S.: Acoustic noise pattern detection and identification method in doppler system. Elektronika ir Elektrotechnika 18(8), 65\u201368 (2012)","journal-title":"Elektronika ir Elektrotechnika"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45, 5\u201332 (2001). http:\/\/www.stat.berkeley.edu\/~breiman\/RandomForests\/cc_papers.htm","DOI":"10.1023\/A:1010933404324"},{"key":"11_CR4","unstructured":"Chen, C., Liaw, A., Breiman, L.: Using Random Forest to Learn Imbalanced Data. http:\/\/statistics.berkeley.edu\/sites\/default\/files\/tech-reports\/666.pdf"},{"key":"11_CR5","unstructured":"Directive 2010\/40\/Eu of the European Parliament and of the Council of 7 July 2010 on the framework for the deployment of Intelligent Transport Systems in the field of road transport and for interfaceswith other modes of transport. http:\/\/eur-lex.europa.eu\/LexUriServ\/LexUriServ.do?uri=OJ:L:2010:207:0001:0013:EN:PDF"},{"key":"11_CR6","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1016\/j.jpdc.2004.03.020","volume":"64","author":"MF Duarte","year":"2004","unstructured":"Duarte, M.F., Hu, Y.H.: Vehicle classification in distributed sensor networks. J. Parallel Distrib. Comput. 64, 826\u2013838 (2004)","journal-title":"J. Parallel Distrib. Comput."},{"key":"11_CR7","unstructured":"Erb, S.: Classification of Vehicles Based on Acoustic Features. Thesis, Graz University of Technology (2007)"},{"key":"11_CR8","unstructured":"General Directorate for National Roads and Motorways (GDDKiA, in Polish). https:\/\/www.gddkia.gov.pl\/userfiles\/articles\/z\/zarzadzenia-generalnego-dyrektor_13901\/zarzadzenie%2038%20Wytyczne%20-%20Zalacznik%20d%20-%20Instrukcja%20%20GPR_2015.pdf"},{"issue":"2","key":"11_CR9","doi-asserted-by":"crossref","first-page":"29","DOI":"10.5121\/ijsc.2013.4203","volume":"4","author":"J George","year":"2013","unstructured":"George, J., Cyril, A., Koshy, B.I., Mary, L.: Exploring sound signature for vehicle detection and classification using ANN. Int. J. Soft Comput. 4(2), 29\u201336 (2013)","journal-title":"Int. J. Soft Comput."},{"key":"11_CR10","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"T Hastie","year":"2009","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Series in Statistics. Springer, New York (2009)"},{"key":"11_CR11","unstructured":"ITS 2015\u20132019 Strategic Plan. http:\/\/www.its.dot.gov\/strategicplan.pdf"},{"key":"11_CR12","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/0389-4304(95)00004-6","volume":"17","author":"K Iwao","year":"1996","unstructured":"Iwao, K., Yamazaki, I.: A study on the mechanism of tire\/road noise. JSAE Rev. 17, 139\u2013144 (1996)","journal-title":"JSAE Rev."},{"key":"11_CR13","unstructured":"Izba Celna w Przemy\u015blu (the Customs Chamber in Przemy\u015bl, in Polish). http:\/\/www.przemysl.ic.gov.pl\/download\/sprowadzauto\/zas_klasyfikacji_pojazdow_samo.pdf"},{"key":"11_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1007\/978-3-319-25252-0_37","volume-title":"Foundations of Intelligent Systems","author":"E Kubera","year":"2015","unstructured":"Kubera, E., Wieczorkowska, A., Skrzypiec, K.: Audio-based hierarchic vehicle classification for intelligent transportation systems. In: Esposito, F., Pivert, O., Hacid, M.-S., R\u00e1s, Z.W., Ferilli, S. (eds.) ISMIS 2015. LNCS, vol. 9384, pp. 343\u2013352. Springer, Heidelberg (2015). doi: 10.1007\/978-3-319-25252-0_37"},{"key":"11_CR15","doi-asserted-by":"crossref","first-page":"53","DOI":"10.5121\/ijsc.2015.6105","volume":"6","author":"AD Mayvan","year":"2015","unstructured":"Mayvan, A.D., Beheshti, S.A., Masoom, M.H.: Classification of vehicles based on audio signals using quadratic discriminant analysis and high energy feature vectors. Int. J. Soft Comput. 6, 53\u201364 (2015)","journal-title":"Int. J. Soft Comput."},{"key":"11_CR16","unstructured":"Package \u2018h2o\u2019. http:\/\/cran.r-project.org\/web\/packages\/h2o\/h2o.pdf"},{"key":"11_CR17","unstructured":"The Moving Picture Experts Group. http:\/\/mpeg.chiariglione.org\/standards\/mpeg-7"},{"key":"11_CR18","unstructured":"The R Foundation. http:\/\/www.R-project.org"},{"key":"11_CR19","unstructured":"Struyf, A., Hubert, M., Rousseeuw, P.J.: Clustering in an Object-Oriented Environment. http:\/\/www.jstatsoft.org\/v01\/i04\/paper"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, X., Marasek, K., Ra\u015b, Z.W.: Maximum likelihood study for sound pattern separation and recognition. In: 2007 International Conference on Multimedia and Ubiquitous Engineering MUE 2007, pp. 807\u2013812. IEEE (2007)","DOI":"10.1109\/MUE.2007.147"}],"container-title":["Lecture Notes in Computer Science","New Frontiers in Mining Complex Patterns"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-39315-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T09:48:55Z","timestamp":1498297735000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-39315-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319393148","9783319393155"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-39315-5_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}