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_a1119798779 _q(electronic book) |
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| 020 |
_a9781119798798 _q(electronic book) |
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_a9781119798774 _q(electronic bk.) |
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_a9781119798781 _q(electronic book) |
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_a1119798787 _q(electronic book) |
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_a10.1002/9781119798798 _2doi |
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| 035 | _a(OCoLC)1334105562 | ||
| 037 |
_a9827658 _bIEEE |
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| 041 | 0 | _aeng | |
| 050 | 4 |
_aTA347.A78 _bA78 2022 |
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| 090 |
_aTA347.A78 _bA78 2022EBK |
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_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 |
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| 264 | 4 | _c©2022 | |
| 300 | _a1 online resource (355 pages) | ||
| 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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| 340 |
_2rdacc _0http://rdaregistry.info/termList/RDAColourContent/1003 |
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| 504 | _aBIBINDX | ||
| 506 | _aAvailable to OhioLINK libraries | ||
| 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 | ||
| 650 | 0 |
_aArtificial intelligence _0http://id.loc.gov/authorities/subjects/sh85008180 _xIndustrial applications. _0http://id.loc.gov/authorities/subjects/sh00006117 _91543 |
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| 650 | 0 |
_aIndustry 4.0. _0http://id.loc.gov/authorities/subjects/sh2020008861 |
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| 650 | 0 |
_a5G mobile communication systems. _0http://id.loc.gov/authorities/subjects/sh2019000281 |
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| 655 | 0 |
_aElectronic books _92032 |
|
| 700 | 1 |
_aVasant, Pandian, _0http://id.loc.gov/authorities/names/no2008165452 _eeditor |
|
| 700 | 1 |
_aMunapo, Elias, _eeditor |
|
| 700 | 1 |
_aThomas, J. Joshua, _d1973- _0http://id.loc.gov/authorities/names/n2019035299 _eeditor |
|
| 700 | 1 |
_aWeber, Gerhard-Wilhelm, _0http://id.loc.gov/authorities/names/no2003067878 _eeditor |
|
| 856 | 4 | 0 |
_3Wiley Online Library _zConnect to resource _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119798798 |
| 942 |
_2lcc _cEBK |
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