000 | 03258cam a2200529M 4500 | ||
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001 | 9781003143505 | ||
003 | FlBoTFG | ||
005 | 20220711212459.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 210811s2021 xx o 0|| 0 eng d | ||
040 |
_aOCoLC-P _beng _cOCoLC-P |
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020 |
_a9781000435948 _q(electronic bk.) |
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020 |
_a1000435946 _q(electronic bk.) |
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020 |
_a9781003143505 _q(electronic bk.) |
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020 |
_a1003143504 _q(electronic bk.) |
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020 |
_a9781000435986 _q(electronic bk. : EPUB) |
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020 |
_a1000435989 _q(electronic bk. : EPUB) |
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020 | _z0367698390 | ||
020 | _z9780367698393 | ||
035 | _a(OCoLC)1263339690 | ||
035 | _a(OCoLC-P)1263339690 | ||
050 | 4 | _aQA76.9.A43 | |
072 | 7 |
_aCOM _x012040 _2bisacsh |
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072 | 7 |
_aCOM _x018000 _2bisacsh |
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072 | 7 |
_aCOM _x037000 _2bisacsh |
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072 | 7 |
_aUYQ _2bicssc |
|
082 | 0 | 4 |
_a519.6 _223 |
245 | 0 | 0 |
_aMETAHEURISTIC ALGORITHMS IN INDUSTRY 4.0 _h[electronic resource]. |
260 |
_a[S.l.] : _bCRC PRESS, _c2021. |
||
300 | _a1 online resource | ||
520 | _aDue to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces. This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more. Key features: Includes industrial case studies. Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics. surveys current trends and challenges in metaheuristics and industry 4.0. Metaheuristic Algorithms in Industry 4.0provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes. | ||
588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 0 |
_aMetaheuristics _xIndustrial applications. _916898 |
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650 | 0 |
_aMathematical optimization. _94112 |
|
650 | 0 |
_aIndustry 4.0. _910141 |
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650 | 7 |
_aCOMPUTERS / Computer Graphics / Game Programming & Design _2bisacsh _912289 |
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650 | 7 |
_aCOMPUTERS / Data Processing / General _2bisacsh _916013 |
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650 | 7 |
_aCOMPUTERS / Machine Theory _2bisacsh _916899 |
|
700 | 1 |
_aShah, Pritesh, _eeditor. _916900 |
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700 | 1 |
_aSekhar, Ravi, _eeditor. _916901 |
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700 | 1 |
_aKulkarni, Anand Jayant, _eeditor. _916902 |
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700 | 1 |
_aSiarry, Patrick, _eeditor. _916903 |
|
856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003143505 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
942 | _cEBK | ||
999 |
_c71372 _d71372 |