{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:15:04Z","timestamp":1742987704425,"version":"3.40.3"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031180491"},{"type":"electronic","value":"9783031180507"}],"license":[{"start":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T00:00:00Z","timestamp":1665532800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T00:00:00Z","timestamp":1665532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-18050-7_59","type":"book-chapter","created":{"date-parts":[[2022,10,11]],"date-time":"2022-10-11T19:02:55Z","timestamp":1665514975000},"page":"606-615","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Weakly Supervised Learning of\u00a0the\u00a0Motion Resistance of\u00a0a\u00a0Locomotive Powered by\u00a0Liquefied Natural Gas"],"prefix":"10.1007","author":[{"given":"Luciano","family":"S\u00e1nchez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo","family":"Luque","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"\u00c1lvarez-M\u00e1ntaras","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9","family":"Otero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nahuel","family":"Costa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,10,12]]},"reference":[{"key":"59_CR1","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1016\/j.scitotenv.2004.04.077","volume":"334","author":"E Corfa","year":"2004","unstructured":"Corfa, E., Maury, F., Segers, P., Fresneau, A., Albergel, A.: Short-range evaluation of air pollution near bus and railway stations. Sci. Total Environ. 334, 223\u2013230 (2004)","journal-title":"Sci. Total Environ."},{"key":"59_CR2","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1016\/j.jngse.2015.12.007","volume":"28","author":"I Dincer","year":"2016","unstructured":"Dincer, I., Zamfirescu, C.: A review of novel energy options for clean rail applications. J. Nat. Gas Sci. Eng. 28, 461\u2013478 (2016)","journal-title":"J. Nat. Gas Sci. Eng."},{"issue":"1","key":"59_CR3","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.trd.2011.09.002","volume":"17","author":"A Hoffrichter","year":"2012","unstructured":"Hoffrichter, A., Miller, A.R., Hillmansen, S., Roberts, C.: Well-to-wheel analysis for electric, diesel and hydrogen traction for railways. Transp. Res. Part D: Transp. Environ. 17(1), 28\u201334 (2012)","journal-title":"Transp. Res. Part D: Transp. Environ."},{"key":"59_CR4","doi-asserted-by":"crossref","unstructured":"Langshaw, L., Ainalis, D., Acha, S., Shah, N., Stettler, M.E.: Environmental and economic analysis of liquefied natural gas (lng) for heavy goods vehicles in the uk: a well-to-wheel and total cost of ownership evaluation. Energy Policy 137, 111161 (2020)","DOI":"10.1016\/j.enpol.2019.111161"},{"issue":"3","key":"59_CR5","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1016\/S0020-0255(70)80056-1","volume":"2","author":"EH Ruspini","year":"1970","unstructured":"Ruspini, E.H.: Numerical methods for fuzzy clustering. Inf. Sci. 2(3), 319\u2013350 (1970)","journal-title":"Inf. Sci."},{"key":"59_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104405","volume":"105","author":"L Sanchez","year":"2021","unstructured":"Sanchez, L., Luque, P., Alvarez, D.: Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data. Eng. Appl. Artif. Intell. 105, 104405 (2021)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"3","key":"59_CR7","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"JA Suykens","year":"1999","unstructured":"Suykens, J.A., Vandewalle, J.: Least squares support vector machine classifiers. Neural Process. Lett. 9(3), 293\u2013300 (1999)","journal-title":"Neural Process. Lett."},{"key":"59_CR8","unstructured":"Szanto, F.: Rolling resistance revisited. In: CORE 2016, Maintaining the Momentum, Conference on Railway Excellence, Melbourne, Victoria, 16-18 May 2016 (2016)"},{"issue":"1","key":"59_CR9","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1093\/nsr\/nwx106","volume":"5","author":"ZH Zhou","year":"2018","unstructured":"Zhou, Z.H.: A brief introduction to weakly supervised learning. Natl. Sci. Rev. 5(1), 44\u201353 (2018)","journal-title":"Natl. Sci. Rev."}],"container-title":["Lecture Notes in Networks and Systems","17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-18050-7_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,11]],"date-time":"2022-10-11T19:09:27Z","timestamp":1665515367000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-18050-7_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,12]]},"ISBN":["9783031180491","9783031180507"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-18050-7_59","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022,10,12]]},"assertion":[{"value":"12 October 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SOCO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Soft Computing Models in Industrial and Environmental Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bilbao","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"socomoin2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2022.sococonference.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}