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| 008 | 220404s2022 gw a o |||| 0|eng d | ||
| 020 | _a9783662638637 | ||
| 024 | 7 |
_a10.1007/978-3-662-63863-7 _2doi |
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_bspa _cES-MaUEC _dES-MaUEC |
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_aTL240 _b2022 EB |
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| 100 | 1 |
_aMirfendreski, Aras _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685650 |
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| 245 | 1 | 0 |
_aPowertrain Development with Artificial Intelligence : _bHistory, Work Processes, Concepts, Methods and Application Examples _cby Aras Mirfendreski |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aBerlin, Heidelberg _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XIII, 164 páginas) _b152 ilustraciones, 121 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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_arecurso electrónico _bcr _2rdacarrier |
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_aarchivo de texto _bPDF |
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| 505 | 0 | _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. | |
| 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. | ||
| 988 | _aSpringer_Engineering_2022 | ||
| 650 | 7 |
_2embne _9251275 _aAutomóviles _xDiseño y construcción |
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| 650 | 7 |
_2embne _aInteligencia artificial _9413115 |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783662638620 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662638644 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-63863-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE |
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_b12/2022 _dz _eb _zSI |
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