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020			_a9781119798774 _q(electronic book)
020			_z9781119798798 _q(electronic book)
020			_z9781119798774 _q(electronic bk.)
020			_z9781119798781 _q(electronic book)
040			_aEBLCP _beng _erda _epn _cEBLCP _dIEEEE _dYDX _dDG1 _dN$T _dOCLCQ _dOCLCF _dDG1 _dUKAHL _dOCLCQ _dUk _dStDuBDSZ
050		4	_aTA347.A78 _bA78 2022
072		7	_aUY _2bicssc
072		7	_aCOM _2ukslc
072		7	_aUY _2thema
082	0	4	_223/eng/20220715
245	0	0	_aArtificial Intelligence in Industry 4.0 and 5G Technology / _cedited by Pandian Vasant, Elias Munapo, J. Joshua Thomas, Gerhard-Wilhelm Weber.
260			_aNewark, NJ : _bJohn Wiley & Sons, Incorporated, _c2022.
264		4	_c2022
300			_a1 online resource (355 pages).
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
366			_b20220624 _cAvailable
520	8		_aArtificial Intelligence in Industry 4.0 and 5G Technology Explores innovative and value-added solutions for application problems in the commercial, business, and industry sectors As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches.
588	0		_aOnline resource; title from digital title page (viewed on July 15, 2022).
650		0	_aArtificial intelligence _xIndustrial applications.
650		0	_aIndustry 4.0.
650		0	_a5G mobile communication systems.
650		7	_a5G mobile communication systems. _0(OCoLC)fst02009233 _2fast
650		7	_aArtificial intelligence _xIndustrial applications. _0(OCoLC)fst00817262 _2fast
650		7	_aIndustry 4.0. _0(OCoLC)fst02024640 _2fast
650		7	_aComputers and IT _2ukslc
650		7	_aComputer science _2thema
700	1		_aVasant, Pandian, _eeditor.
700	1		_aMunapo, Elias, _eeditor.
700	1		_aThomas, J. Joshua, _d1973- _eeditor.
700	1		_aWeber, Gerhard-Wilhelm, _eeditor.
710			_aVLeBooks
856	4	0	_uhttps://www.vlebooks.com/product/openreader?id=BradfordC&accId=7057554&isbn=9781119798774 _zClick here to access
999			_c89614 _d89614