{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T12:16:16Z","timestamp":1744287376434},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319520148"},{"type":"electronic","value":"9783319520155"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-52015-5_33","type":"book-chapter","created":{"date-parts":[[2017,1,12]],"date-time":"2017-01-12T03:51:57Z","timestamp":1484193117000},"page":"327-338","source":"Crossref","is-referenced-by-count":5,"title":["PADS: A Reliable Pothole Detection System Using Machine Learning"],"prefix":"10.1007","author":[{"given":"Jinting","family":"Ren","sequence":"first","affiliation":[]},{"given":"Duo","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,1,13]]},"reference":[{"key":"33_CR1","unstructured":"Federal Highway Administration (1966). https:\/\/www.fhwa.dot.gov\/"},{"issue":"2","key":"33_CR2","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1109\/6979.880969","volume":"1","author":"R Cucchiara","year":"2000","unstructured":"Cucchiara, R., Piccardi, M., Mello, P.: Image analysis and rule-based reasoning for a traffic monitoring system. IEEE Trans. Intell. Transp. Syst. 1(2), 119\u2013130 (2000)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"33_CR3","unstructured":"Takagi, M., Masaki, I.: Road surface condition monitoring system using sensors disposed under the road, 27 August 2002. US Patent 6,441,748"},{"key":"33_CR4","unstructured":"Roadscanners. Roadscanners oy (1998). http:\/\/www.roadscanners.fi\/"},{"key":"33_CR5","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.jnca.2015.05.016","volume":"59","author":"K Gai","year":"2016","unstructured":"Gai, K., Qiu, M., Zhao, H., Tao, L., Zong, Z.: Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. J. Netw. Comput. Appl. 59, 46\u201354 (2016)","journal-title":"J. Netw. Comput. Appl."},{"issue":"1","key":"33_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10994-013-5425-9","volume":"95","author":"C Rudin","year":"2014","unstructured":"Rudin, C., Wagstaff, K.L.: Machine learning for science and society. Mach. Learn. 95(1), 1\u20139 (2014)","journal-title":"Mach. Learn."},{"key":"33_CR7","volume-title":"Machine Learning: An Artificial Intelligence Approach","author":"Y Kodratoff","year":"2014","unstructured":"Kodratoff, Y., Michalski, R.S.: Machine Learning: An Artificial Intelligence Approach, vol. 3. Morgan Kaufmann, San Francisco (2014)"},{"key":"33_CR8","unstructured":"Wagstaff, K., Cardie, C., Rogers, S., Schr\u00f6dl, S., et al.: Constrained $$k$$ -means clustering with background knowledge. In: ICML, vol. 1, pp. 577\u2013584 (2001)"},{"issue":"1","key":"33_CR9","first-page":"100","volume":"28","author":"JA Hartigan","year":"1979","unstructured":"Hartigan, J.A., Wong, M.A.: Algorithm as 136: A $$k$$ -means clustering algorithm. J. Roy. Stat. Soc. Ser. C (Appl. Stat.) 28(1), 100\u2013108 (1979)","journal-title":"J. Roy. Stat. Soc. Ser. C (Appl. Stat.)"},{"key":"33_CR10","unstructured":"POTHOLE (2002). http:\/\/www.pothole.info\/"},{"key":"33_CR11","unstructured":"Budras, J.: A synopsis on the current equipment used for measuring pavement smoothness (2001). http:\/\/www.fhwa.dot.gov\/pavement\/smoothness\/rough.cfm"},{"issue":"7","key":"33_CR12","doi-asserted-by":"crossref","first-page":"1645","DOI":"10.1016\/j.future.2013.01.010","volume":"29","author":"J Gubbi","year":"2013","unstructured":"Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645\u20131660 (2013)","journal-title":"Future Gener. Comput. Syst."},{"key":"33_CR13","doi-asserted-by":"crossref","unstructured":"Prashanth Mohan, R.R., Padmanabhan, V.N.: Nericell: rich monitoring of road and traffic conditions using Mobile Smartphones (2008)","DOI":"10.1145\/1460412.1460444"},{"key":"33_CR14","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"IH Witten","year":"2005","unstructured":"Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco (2005)"},{"issue":"8","key":"33_CR15","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1016\/j.patrec.2009.09.011","volume":"31","author":"AK Jain","year":"2010","unstructured":"Jain, A.K.: Data clustering: 50 years beyond $$k$$ -means. Pattern Recogn. Lett. 31(8), 651\u2013666 (2010)","journal-title":"Pattern Recogn. Lett."},{"issue":"3","key":"33_CR16","doi-asserted-by":"crossref","first-page":"363","DOI":"10.3844\/jcssp.2010.363.368","volume":"6","author":"T Velmurugan","year":"2010","unstructured":"Velmurugan, T., Santhanam, T.: Computational complexity between $$k$$ -means and $$k$$ -medoids clustering algorithms for normal and uniform distributions of data points. J. Comput. Sci. 6(3), 363 (2010)","journal-title":"J. Comput. Sci."},{"issue":"4","key":"33_CR17","first-page":"34","volume":"4","author":"S Ghosh","year":"2013","unstructured":"Ghosh, S., Dubey, S.K.: Comparative analysis of $$k$$ -means and fuzzy $$c$$ -means algorithms. Int. J. Adv. Comput. Sci. Appl. 4(4), 34\u201339 (2013)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"33_CR18","doi-asserted-by":"crossref","unstructured":"Gai, K., Du, Z., Qiu, M., Zhao, H.: Efficiency-aware workload optimizations of heterogeneous cloud computing for capacity planning in financial industry (2015)","DOI":"10.1109\/CSCloud.2015.73"},{"key":"33_CR19","unstructured":"Hsu, J. Y.-J., Tai, Y.-C., Chan, C.-W.: Automatic road anomaly detection using smart mobile device (2010)"},{"key":"33_CR20","unstructured":"Zviedris, R., Kanonirs, G., Selavo, L., Mednis, A., Strazdins, G.: Real time pothole detection using android smart-phones with accelerometers (2011)"},{"key":"33_CR21","doi-asserted-by":"crossref","unstructured":"Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., Balakrishnan, H.: The pothole patrol: using a mobile sensor network for road surface monitoring. In: Proceedings of the 6th international conference on Mobile systems, applications, and services, pp. 29\u201339. ACM (2008)","DOI":"10.1145\/1378600.1378605"},{"key":"33_CR22","doi-asserted-by":"crossref","unstructured":"Ghose, A., Biswas, P., Bhaumik, C., Sharma, M., Pal, A., Jha, A.: Road condition monitoring and alert application: using in-vehicle smartphone as internet-connected sensor. In: 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 489\u2013491. IEEE (2012)","DOI":"10.1109\/PerComW.2012.6197543"},{"key":"33_CR23","unstructured":"Friedlander, R.R., Kraemer, J.R.: Evaluating road conditions using a mobile vehicle, 17 September 2013. US Patent 8,538,667"}],"container-title":["Lecture Notes in Computer Science","Smart Computing and Communication"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-52015-5_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,17]],"date-time":"2019-09-17T12:22:27Z","timestamp":1568722947000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-52015-5_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319520148","9783319520155"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-52015-5_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}