{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T18:55:16Z","timestamp":1725908116900},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319656359"},{"type":"electronic","value":"9783319656366"}],"license":[{"start":{"date-parts":[[2017,8,17]],"date-time":"2017-08-17T00:00:00Z","timestamp":1502928000000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-65636-6_9","type":"book-chapter","created":{"date-parts":[[2017,8,16]],"date-time":"2017-08-16T00:13:28Z","timestamp":1502842408000},"page":"96-107","source":"Crossref","is-referenced-by-count":1,"title":["A Heuristic Machine Learning Based Approach for Utilizing Scarce Data in Estimating Fuel Consumption of Heavy Duty Trucks"],"prefix":"10.1007","author":[{"given":"Atefe","family":"Zakeri","sequence":"first","affiliation":[]},{"given":"Morteza","family":"Saberi","sequence":"additional","affiliation":[]},{"given":"Omar Khadeer","family":"Hussain","sequence":"additional","affiliation":[]},{"given":"Elizabeth","family":"Chang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,17]]},"reference":[{"key":"9_CR1","volume-title":"Data Mining Practical Machine Learning Tools and Techniques","author":"IH Witten","year":"2011","unstructured":"Witten, I.H., Frank, E., Hall, M.A.: Data Mining Practical Machine Learning Tools and Techniques, 3rd edn. Elsevier, Amsterdam (2011)","edition":"3"},{"key":"9_CR2","unstructured":"Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques, 3rd edn. The Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann, San Francisco (2011)"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Wong, P.K., Vong, C.M., Cheung, C.S., Wong, K.I.: Diesel engine modelling using extreme learning machine under scarce and exponential data sets. Int. J. Uncertainty Fuzziness Knowl. Based Syst. 21(Suppl. 2), 87\u201398 (2013)","DOI":"10.1142\/S0218488513400187"},{"issue":"1","key":"9_CR4","first-page":"149","volume":"4","author":"MI Venter","year":"2005","unstructured":"Venter, M.I.: Business Intelligence (BI) initiatives: failures versus success. Interim Interdiscip. J. 4(1), 149\u2013163 (2005)","journal-title":"Interim Interdiscip. J."},{"key":"9_CR5","unstructured":"Aylett, R., Doniat, C.: Supporting the domain expert in planning domain construction. In: AIPS-2002 Workshop on Knowledge Engineering Tools and Techniques for AI Planning (2002)"},{"key":"9_CR6","unstructured":"Sharpe, B.E.N., Muncrief, R.: Literature Review: Real World Fuel Consumption of Heavy-Duty Vehicles in The United States, China, and The European Union, January 2015"},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Zakeri, A., Chang, E., Hussain, O.K.: TUNE: tree mining-based approach for dual-fuel engine performance management of heavy duty trucks. In: 2016 IEEE International Conference on e-Business Engineering (2016)","DOI":"10.1109\/ICEBE.2016.033"},{"key":"9_CR8","unstructured":"Department of Resources Energy and Tourism Australia: Analyses of Diesel Use for Mine Haul and Transport Operations (2011)"},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Noda, A., Tsukamoto, Y., Sato, T., Yagi, H.: Evaluation method for HDV fuel economy performance with PC Simulation and mapping procedure. SAE Tech. Pap., vol. 2003-01-20 (2003)","DOI":"10.4271\/2003-01-2010"},{"key":"9_CR10","unstructured":"Capps, G., Franzese, O., Knee, B., Lascurain, M.B., Otaduy, P.: Class-8 Heavy Truck Duty Cycle Project Final Report (2008)"},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Ribeiro, V., Rodrigues, J., Aguiar, A.: Mining geographic data for fuel consumption estimation. In: Proceedings of IEEE 16th International Annual Conference on Intelligent Transportation Systems, pp. 124\u2013129, October 2013","DOI":"10.1109\/ITSC.2013.6728221"},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Pelkmans, L., Debal, P., Hood, T., Hauser, G.: Development of a simulation tool to calculate fuel consumption and emissions of vehicles operating in dynamic conditions. SAE Tech. Pap., vol. 2004-01-18 (2004)","DOI":"10.4271\/2004-01-1873"},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Vila\u00e7a Bastos Silva, A.: Estimating Fuel Consumption From GPS Data (2014)","DOI":"10.1007\/978-3-319-19390-8_75"},{"key":"9_CR14","unstructured":"Hileman, J.I., Katz, J.B., Mantilla, J.G., Fleming, G.: Payload fuel energy efficiency as a metric for aviation environmental performance. In: 26th International Congress of the Aeronautical Sciences (2008)"},{"key":"9_CR15","doi-asserted-by":"crossref","unstructured":"Transportation Research Board and National Research Council: Technologies and Approaches to Reducing the Fuel Consumption of Medium- and Heavy-Duty Vehicles, The National Academies Press, Washington, DC (2010). https:\/\/doi.org\/10.17226\/12845","DOI":"10.17226\/12845"},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"Franzese, O.: Effect of Weight and Roadway Grade on the Fuel Economy of Class-8 Freight Trucks, October 2011","DOI":"10.2172\/1029954"},{"key":"9_CR17","unstructured":"The University of Waikato (2016)"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances in Intelligent Networking and Collaborative Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-65636-6_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,2]],"date-time":"2019-10-02T08:42:10Z","timestamp":1570005730000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-65636-6_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,17]]},"ISBN":["9783319656359","9783319656366"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-65636-6_9","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2017,8,17]]}}}