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001445740 001__ 1445740
001445740 003__ OCoLC
001445740 005__ 20230310003847.0
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001445740 019__ $$a1309865895$$a1309957068$$a1310342013
001445740 020__ $$a9783662638637$$q(electronic bk.)
001445740 020__ $$a3662638630$$q(electronic bk.)
001445740 020__ $$z9783662638620
001445740 020__ $$z3662638622
001445740 0247_ $$a10.1007/978-3-662-63863-7$$2doi
001445740 035__ $$aSP(OCoLC)1309132689
001445740 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dUKAHL$$dOCLCQ
001445740 0411_ $$aeng$$hger
001445740 049__ $$aISEA
001445740 050_4 $$aTL240$$b.M5713 2022
001445740 08204 $$a629.2028/563$$223
001445740 1001_ $$aMirfendreski, Aras,$$eauthor.
001445740 24010 $$aKünstliche Intelligenz für die Entwicklung von Antriben.$$lEnglish
001445740 24510 $$aPowertrain development with artificial intelligence :$$bhistory, work processes, concepts, methods and application examples /$$cAras Mirfendreski.
001445740 264_1 $$aBerlin :$$bSpringer,$$c[2022]
001445740 264_4 $$c©2022
001445740 300__ $$a1 online resource :$$billustrations (chiefly color)
001445740 336__ $$atext$$btxt$$2rdacontent
001445740 337__ $$acomputer$$bc$$2rdamedia
001445740 338__ $$aonline resource$$bcr$$2rdacarrier
001445740 504__ $$aIncludes bibliographical references.
001445740 5050_ $$aIntroduction -- The Combustion Engine at the Turn of Industrialization -- Revolution through Simulation for the development of Powertrains -- Big Data for Powertrains- Powertrain development with Artificial Intelligence.
001445740 506__ $$aAccess limited to authorized users.
001445740 520__ $$aThe variety of future powertrain concepts has drastically increased the development cost for automotive manufactures. Profitable investment requires a significantly leaner and efficient powertrain development process. Traditional methods of test and model based development need to be assisted by big data and data analytics. For this purpose, a valuable tool is available at the right time - artificial intelligence (AI). But what does AI really mean in a narrower sense? What concepts lie behind it? And how are the methods and algorithms transferable to powertrain applications? For the first time, this book aims to bridge the gap between automotive engineering and computer science, by illuminating the complexity of current AI concepts and demystifying it for powertrain applications. By elaborating on work processes, it shows how AI could be implemented and how completely novel methods can help us reshape the future of mobility. Target groups: Engineers in the field of powertrain development Engineers & computer scientists in the field of artificial intelligence Development departments of the automotive industry Suppliers, service providers of the automotive industry, IT industry (AI experts, start-ups etc.) Universities and research institutions All interested readers with technical background knowledge The author: Dr. Aras Mirfendreski has developed into an engine-expert throughout the German and international scientific landscape (studied at RWTH Aachen University, doctorate at Audi AG). Through his experience as a powertrain developer at Stuttgart FKFS for various OEMs as well as his activities as a senior program manager at Toyota, his developments always thrive on the transfer of state-of-the-art methods into corporate structures. Today, he serves as Vice President Engine R&D at Aquarius Engines and is also an AI expert, keynote speaker and consultant on artificial intelligence topics.
001445740 546__ $$aTranslated from German.
001445740 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 13, 2022).
001445740 650_0 $$aAutomobiles$$xDesign and construction$$xData processing.
001445740 650_0 $$aArtificial intelligence$$xEngineering applications.
001445740 650_0 $$aAutomobiles$$xDesign and construction$$xTecnological innovations.
001445740 650_6 $$aAutomobiles$$xConception et construction$$xInformatique.
001445740 650_6 $$aIntelligence artificielle$$xApplications en ingénierie.
001445740 655_0 $$aElectronic books.
001445740 77608 $$iPrint version: $$z3662638622$$z9783662638620$$w(OCoLC)1257889512
001445740 852__ $$bebk
001445740 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-662-63863-7$$zOnline Access$$91397441.1
001445740 909CO $$ooai:library.usi.edu:1445740$$pGLOBAL_SET
001445740 980__ $$aBIB
001445740 980__ $$aEBOOK
001445740 982__ $$aEbook
001445740 983__ $$aOnline
001445740 994__ $$a92$$bISE