Artificial Intelligence Possibilities in Vehicle Industry

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dc.contributor.authorMenyhárt, József
dc.date.accessioned2021-06-29T11:04:35Z
dc.date.available2021-06-29T11:04:35Z
dc.date.issued2019-12-12
dc.description.abstractThere have been several attempts during the last decades to extend the ranges of application of artificial intelligence. The aim of the development for AI is to replace human intelligence and experience. The ultimate aim for machines and vehicles is to run much more efficiently and with higher reliability than ever before. The Artificial Techniques (AI) used a wide range of expert systems to optimize problems. Hybrid intelligent management systems have become increasingly influential in artificial intelligence during the last decades. As a result, maintenance and fleet management systems have undergone significant development. By choosing adequate maintenance or operating strategy and taking user behaviour into consideration, these systems can not only increase the reliability and efficiency of vehicles but can also result in financial savings. The paper tries to discusses the applications of AI techniques in predictive maintenance and vehicle industry.en
dc.formatapplication/pdf
dc.identifier.citationInternational Journal of Engineering and Management Sciences, Vol. 4 No. 4 (2019) , 148-154
dc.identifier.doihttps://doi.org/10.21791/IJEMS.2019.4.16.
dc.identifier.eissn2498-700X
dc.identifier.issue4
dc.identifier.jtitleInternational Journal of Engineering and Management Sciences
dc.identifier.urihttps://hdl.handle.net/2437/318771en
dc.identifier.volume4
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/IJEMS/article/view/5338
dc.rights.accessOpen Access
dc.rights.ownerby the authors
dc.subjectIndustry 4.0en
dc.subjectArtificial Intelligenceen
dc.subjectM2Men
dc.subjectM2Hen
dc.subjectVehicle Industryen
dc.titleArtificial Intelligence Possibilities in Vehicle Industryen
dc.typefolyóiratcikkhu
dc.typearticleen
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