000 | 03433nam a22005415i 4500 | ||
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001 | 978-3-319-64465-3 | ||
003 | DE-He213 | ||
005 | 20220801221814.0 | ||
007 | cr nn 008mamaa | ||
008 | 170817s2018 sz | s |||| 0|eng d | ||
020 |
_a9783319644653 _9978-3-319-64465-3 |
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024 | 7 |
_a10.1007/978-3-319-64465-3 _2doi |
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_aUYQ _2bicssc |
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245 | 1 | 0 |
_aIntelligent Systems in Production Engineering and Maintenance – ISPEM 2017 _h[electronic resource] : _bProceedings of the First International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2017 / _cedited by Anna Burduk, Dariusz Mazurkiewicz. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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300 |
_aXVII, 470 p. 214 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aAdvances in Intelligent Systems and Computing, _x2194-5365 ; _v637 |
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520 | _aThe volume presents a collection of 44 peer-reviewed articles from the First International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2017). ISPEM 2017 was organized by the Faculty of Mechanical Engineering, Wrocław University of Science and Technology and was held in Wrocław (Poland) on 28–29 September 2017. The main topics of the conference included the possibility of using widely understood intelligent methods in production engineering. New solutions for innovative plants, research results and case studies taking into account advances in production and maintenance from the point of view of Industry 4.0 were presented and discussed—with special attention paid to applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems, and product development. The volume is divided into two parts: 1. Intelligent Systems in Production Engineering 2. Intelligent Systems in Maintenance This book is an excellent reference resource for scientists in the field of manufacturing engineering and for top managers in production enterprises. | ||
650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aIndustrial engineering. _931641 |
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650 | 0 |
_aProduction engineering. _93683 |
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650 | 1 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aIndustrial and Production Engineering. _931644 |
700 | 1 |
_aBurduk, Anna. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _958091 |
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700 | 1 |
_aMazurkiewicz, Dariusz. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _958092 |
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710 | 2 |
_aSpringerLink (Online service) _958093 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319644646 |
776 | 0 | 8 |
_iPrinted edition: _z9783319644660 |
830 | 0 |
_aAdvances in Intelligent Systems and Computing, _x2194-5365 ; _v637 _958094 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-64465-3 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
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_c80072 _d80072 |