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019 _a1333920661
020 _a1119798779
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020 _a9781119798798
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020 _z9781119798767
024 7 _a10.1002/9781119798798
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035 _a(OCoLC)1334105562
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037 _a9827658
_bIEEE
037 _a9781119798767
_bO'Reilly Media
050 4 _aTA347.A78
_bA78 2022
072 7 _aTEC
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072 7 _aTEC
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082 0 4 _a006.3
_223/eng/20220715
049 _aMAIN
245 0 0 _aArtificial Intelligence in Industry 4.0 and 5G Technology /
_cedited by Pandian Vasant, Elias Munapo, J. Joshua Thomas, Gerhard-Wilhelm Weber.
264 1 _aNewark, NJ :
_bJohn Wiley & Sons, Incorporated,
_c2022.
264 4 _c�2022
300 _a1 online resource (355 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _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).
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aArtificial intelligence
_xIndustrial applications.
650 0 _aIndustry 4.0.
650 0 _a5G mobile communication systems.
650 6 _aIntelligence artificielle
_xApplications industrielles.
650 6 _aIndustrie 4.0.
650 6 _aCommunications mobiles 5G.
650 7 _a5G mobile communication systems
_2fast
650 7 _aArtificial intelligence
_xIndustrial applications
_2fast
650 7 _aIndustry 4.0
_2fast
700 1 _aVasant, Pandian,
_eeditor.
700 1 _aMunapo, Elias,
_eeditor.
700 1 _aThomas, J. Joshua,
_d1973-
_eeditor.
_1https://id.oclc.org/worldcat/entity/E39PCjw897fgHVPXcQcxwYJKq3
700 1 _aWeber, Gerhard-Wilhelm,
_eeditor.
776 0 8 _iPrint version:
_aVasant, Pandian.
_tArtificial Intelligence in Industry 4. 0 and 5G Technology.
_dNewark : John Wiley & Sons, Incorporated, �2022
_z9781119798767
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119798798
938 _aAskews and Holts Library Services
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938 _aProQuest Ebook Central
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938 _aEBSCOhost
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938 _aYBP Library Services
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