{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T14:18:14Z","timestamp":1765808294617,"version":"3.37.3"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3359990","type":"journal-article","created":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T18:49:47Z","timestamp":1706640587000},"page":"17404-17418","source":"Crossref","is-referenced-by-count":8,"title":["Estimating Average Vehicle Mileage for Various Vehicle Classes Using Polynomial Models in Deep Classifiers"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2122-1959","authenticated-orcid":false,"given":"Naghmeh","family":"Niroomand","sequence":"first","affiliation":[{"name":"School of Management and Law, Zurich University of Applied Sciences, Winterthur, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Bach","sequence":"additional","affiliation":[{"name":"Automotive Powertrain Technologies Laboratory, Swiss Federal Laboratories for Materials Science and Technology, D&#x00FC;bendorf, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"volume-title":"The Paris Agreement","year":"2023","key":"ref1"},{"volume-title":"EU Reference Scenario 2016, Energy, Transport and GHG Emissions. Trends to 2050","year":"2016","key":"ref2"},{"article-title":"EU reference scenario 2016\u2014Energy, transport and GHG emissions\u2014Trends to 2050","year":"2016","author":"Capros","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1787\/weo-2018-en"},{"volume-title":"Federal Office for the Environment (FOEN)","year":"2023","key":"ref5"},{"volume-title":"International Council on Clean Transportation (ICCT)","year":"2016","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbspro.2013.05.010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s12544-016-0210-z"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5094\/apr.2013.031"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsr.2017.10.004"},{"volume-title":"Reducing CO2 Emissions From Passenger Cars","year":"2023","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/03611981211010795"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3094366"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3135604"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_19"},{"volume-title":"Semi-Supervised Learning Literature Survey","year":"2008","author":"Zhu","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-017-0846-2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.04.040"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"issue":"3","key":"ref20","first-page":"1149","article-title":"Laplacian support vector machines trained in the primal","volume":"12","author":"Melacci","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2901860"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2772836"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2011.6016706"},{"volume-title":"CO2 Emission Regulations for New Cars and Light Commercial Vehicles","year":"2023","key":"ref24"},{"volume-title":"Mobility Behavior of the Population","year":"2023","key":"ref25"},{"volume-title":"Vollzug Der CO2-Emissionsvorschriften F\u00fcr Personenwagen","year":"2022","key":"ref26"},{"volume-title":"COVID Lockdown Causes Record Drop in Carbon Emissions for 2020","year":"2020","key":"ref27"},{"volume-title":"CO2 emissions from cars: The facts","year":"2018","author":"Grelier","key":"ref28"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.pecs.2016.12.004"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1177\/0361198118756894"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2015.06.069"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.eneco.2009.07.007"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2009.07.024"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2014.01.055"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11869-016-0402-7"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12102288"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2019.01.016"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2018.02.072"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.7307\/ptt.v31i2.3043"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/4875310"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899x\/114\/1\/012148"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3096279"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2021.3098353"},{"key":"ref44","article-title":"Augmenting deep classifiers with polynomial neural networks","author":"Chrysos","year":"2021","journal-title":"arXiv:2104.07916"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2402438"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-97304-3_64"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-019-09664-w"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2835304"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2866082"},{"key":"ref50","article-title":"Deep transductive semi-supervised maximum margin clustering","author":"Chen","year":"2015","journal-title":"arXiv:1501.06237"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2187280"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.08.011"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2910406"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/bigdataservice.2019.00063"},{"issue":"2","key":"ref55","first-page":"7","article-title":"Classification algorithms for data mining: A survey","volume":"1","author":"Kumar","year":"2012","journal-title":"Int. J. Innov. Eng. Technol."},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/1183614.1183671"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3058891"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2017.2771264"},{"volume-title":"MOFIS\u2014Das Motorfahrzeuginformationssystem Der Eidgen\u00f6ssischen Fahrzeugkontrolle (EFKO)","year":"2023","key":"ref59"},{"volume-title":"Bundesamt F\u00fcr Strassen","year":"2023","key":"ref60"},{"volume-title":"Schweizer Partner F\u00fcr Fahrzeugdaten","year":"2023","key":"ref61"},{"volume-title":"Autoscout24","year":"2023","key":"ref62"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2017.10.006"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10416930.pdf?arnumber=10416930","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T22:18:04Z","timestamp":1707257884000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10416930\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3359990","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}