{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T19:40:02Z","timestamp":1755891602606,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T00:00:00Z","timestamp":1681344000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,4,13]]},"DOI":"10.1145\/3594441.3594478","type":"proceedings-article","created":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T12:11:09Z","timestamp":1692619869000},"page":"224-229","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Condition Monitoring of an Autonomous Electric Drive Train by Using Machine Learning Methods"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9265-6335","authenticated-orcid":false,"given":"Abdullah","family":"Caliskan","sequence":"first","affiliation":[{"name":"IMaR Research Centre, Munster Technological University, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7236-233X","authenticated-orcid":false,"given":"Conor","family":"O'Brien","sequence":"additional","affiliation":[{"name":"IMaR Research Centre, Munster Technological University, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5554-3465","authenticated-orcid":false,"given":"Krishna","family":"Panduru","sequence":"additional","affiliation":[{"name":"IMaR Research Centre, Munster Technological University, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6756-3700","authenticated-orcid":false,"given":"Joseph","family":"Walsh","sequence":"additional","affiliation":[{"name":"IMaR Research Centre, Munster Technological University, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0526-565X","authenticated-orcid":false,"given":"Daniel","family":"Riordan","sequence":"additional","affiliation":[{"name":"IMaR Research Centre, Munster Technological University, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2017.2753851"},{"key":"e_1_3_2_1_2_1","volume-title":"Implementing Virtual Reality in Entertainment Industry. Cyber Intelligence and Information Retrieval","author":"Ansari S.Z.A.","year":"2022","unstructured":"Ansari, S.Z.A., Shukla, V.K., Saxena, K. and Filomeno, B. 2022. Implementing Virtual Reality in Entertainment Industry. Cyber Intelligence and Information Retrieval (Singapore, 2022), 561\u2013570."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/a10010034"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/sim.7336"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.01.011"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICT4M.2016.57"},{"key":"e_1_3_2_1_7_1","first-page":"151","article-title":"2010. Predicting the distribution of plant species using logistic regression (Case study: Garizat rangelands of Yazd province)","volume":"15","author":"Chahouki M.A.Z.","year":"2019","unstructured":"Chahouki, M.A.Z. and Chahouki, A.Z. 2010. Predicting the distribution of plant species using logistic regression (Case study: Garizat rangelands of Yazd province). Desert. 15, January 2019 (2010), 151\u2013158.","journal-title":"Desert."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"D\u00f6rksen H. and Lohweg V. 2017. Margin-based Refinement for Support-Vector-Machine Classification.","DOI":"10.5220\/0006115502930300"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","unstructured":"Fan J. Wang X. Wu L. Zhou H. Zhang F. Yu X. Lu X. and Xiang Y. 2018. Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China. Energy Conversion and Management. 164 March (2018) 102\u2013111. DOI:https:\/\/doi.org\/10.1016\/j.enconman.2018.02.087.","DOI":"10.1016\/j.enconman.2018.02.087"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","unstructured":"Farokhmanesh F. and Sadeghi M.T. 2021. Deep Neural Networks Regularization Using a Combination of Sparsity Inducing Feature Selection Methods. Neural Processing Letters. (2021). DOI:https:\/\/doi.org\/10.1007\/s11063-020-10389-3.","DOI":"10.1007\/s11063-020-10389-3"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2018.1479794"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Gr\u00fcner T. B\u00f6llhoff F. Meisetschl\u00e4ger R. Vydrenko A. Bator M. Dicks A. and Theissler A. 2020. Evaluation of machine learning for sensorless detection and classification of faults in electromechanical drive systems. (2020) 1586\u20131595.","DOI":"10.1016\/j.procs.2020.09.170"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/gepi.21608"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","unstructured":"Harrell F.E. 2015. Case Study in Binary Logistic Regression Model Selection and Approximation: Predicting Cause of Death. (2015) 275\u2013289. DOI:https:\/\/doi.org\/10.1007\/978-3-319-19425-7_11.","DOI":"10.1007\/978-3-319-19425-7_11"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2017.04.005"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5391\/IJFIS.2017.17.1.1"},{"key":"e_1_3_2_1_18_1","volume-title":"Workshop Computational Intelligence 2013. Proceedings","author":"Lohweg V.","year":"2013","unstructured":"Lohweg, V., Paschke, F., Bayer, C. and al, et 2013. Sensorlose Zustands\u00fcberwachung an Synchronmotoren. 23. Workshop Computational Intelligence 2013. Proceedings (2013), 211\u2013225."},{"key":"e_1_3_2_1_19_1","unstructured":"Machine Learning Applications for Classification Emergency and Non-Emergency Patients: 2020. www.igi-global.com\/chapter\/machine-learning-applications-for-classification-emergency-and-non-emergency-patients\/251970. Accessed: 2021-03-12."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.11.005"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2004.12.008"},{"key":"e_1_3_2_1_22_1","unstructured":"Peter S. Diego F. Hamprecht F.A. and Nadler B. 2017. Cost efficient gradient boosting. Advances in Neural Information Processing Systems (2017)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5901\/jesr.2015.v5n3p239"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.02.029"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(97)00110-6"},{"key":"e_1_3_2_1_26_1","unstructured":"Vadapalli P. 2021. Naive Bayes Explained: Function Advantages & Disadvantages Applications in 2020 | upGrad blog."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2004.1277822"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1155\/2009\/158368"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","unstructured":"Wilson J.R. and Lorenz K.A. 2015. Short History of the Logistic Regression Model. (2015) 17\u201323. DOI:https:\/\/doi.org\/10.1007\/978-3-319-23805-0_2.","DOI":"10.1007\/978-3-319-23805-0_2"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Witten I.H. Pal C.J. and Fourth M. 2017. Maximum Margin Hyperplane Extending instance-based and linear models. (2017).","DOI":"10.1016\/B978-0-12-804291-5.00007-6"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.geomorph.2008.02.011"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2009.01.004"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.4156\/jdcta.vol5.issue6.38"},{"key":"e_1_3_2_1_34_1","volume-title":"-X","author":"Zhang F.-B.","year":"2006","unstructured":"Zhang, F.-B., Wang, S.-W. and Hao, Z.-X. 2006. Research on a randomized real-valued negative selection algorithm. Journal of Harbin Institute of Technology (New Series). 13, 6 (2006), 745\u2013747."},{"key":"e_1_3_2_1_35_1","first-page":"1","article-title":"2003. kNN Approach to Unbalanced Data Distributions: A Case Study involving Information Extraction","volume":"1","author":"Zhang J.","year":"2003","unstructured":"Zhang, J. and Mani, I. 2003. kNN Approach to Unbalanced Data Distributions: A Case Study involving Information Extraction. Journal of Materials Processing Technology. 1, 1 (2003), 1\u20137.","journal-title":"Journal of Materials Processing Technology."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/876545"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1051\/matecconf\/201712802017"}],"event":{"name":"ICIEI 2023: 2023 The 8th International Conference on Information and Education Innovations","acronym":"ICIEI 2023","location":"Manchester United Kingdom"},"container-title":["2023 The 8th International Conference on Information and Education Innovations"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3594441.3594478","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3594441.3594478","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T19:09:30Z","timestamp":1755889770000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3594441.3594478"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,13]]},"references-count":37,"alternative-id":["10.1145\/3594441.3594478","10.1145\/3594441"],"URL":"https:\/\/doi.org\/10.1145\/3594441.3594478","relation":{},"subject":[],"published":{"date-parts":[[2023,4,13]]},"assertion":[{"value":"2023-08-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}