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_a10.1007/978-3-030-77070-9 _2doi |
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_aArtificial Intelligence for a Sustainable Industry 4.0 _h[electronic resource] / _cedited by Shashank Awasthi, Carlos M. Travieso-González, Goutam Sanyal, Dinesh Kumar Singh. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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300 |
_aXVI, 307 p. 163 illus., 130 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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505 | 0 | _aIntroduction -- Artificial Intelligence in Healthcare -- IoT for Modern Life -- Artificial Intelligence in Multimedia Technology -- Artificial Intelligence in Security and Surveillance -- Artificial Intelligence in Big Data Analytics -- Communication Technologies -- Machine Learning and Computing -- Optimizations using Deep learning -- Engineering design for sustainable development using IOT/AI -- Intelligent and Smart Grid Systems -- Energy conservation using AI Technology -- Smart Cities -- Industry 4.0 -- Robotic Process Automation -- Conclusion. | |
520 | _aThis book outlines the recent advancements in the field of artificial intelligence (AI) and addresses how useful it is in achieving truly sustainable solutions. The book also serves as a useful reference literature in developing sustainable engineering solutions to various social and techno-commercial issues of global significance. This book is organized into two sections: section 1 is focused on fundamentals and principles of AI to lay the groundwork for the second section. Section 2 explores the sustainable engineering solutions development using AI, which addresses challenges in various computing techniques and opportunities in engineering design for sustainable development using IoT/AI and smart cities. Applications include waste minimization, re-manufacturing, reuse and recycling technologies using IoT/AI, Industry 4.0, intelligent and smart grid systems, energy conservation using technology, and robotic process automation (RPA). The book is ideal for the engineers, researchers and students interested in how AI can aid in sustainable development applications. Discusses artificial intelligence for sustainable solutions; Features applications such as waste minimization, re-manufacturing, reuse and recycling, and robotic process automation; Pertinent to researchers, academics, professionals, and students interested in AI solutions for sustainable development. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aTelecommunication. | |
650 | 0 | _aIndustrial engineering. | |
650 | 0 | _aProduction engineering. | |
650 | 0 | _aCooperating objects (Computer systems). | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aCommunications Engineering, Networks. |
650 | 2 | 4 | _aIndustrial and Production Engineering. |
650 | 2 | 4 | _aCyber-Physical Systems. |
700 | 1 |
_aAwasthi, Shashank. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aTravieso-González, Carlos M. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aSanyal, Goutam. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aKumar Singh, Dinesh. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030770693 |
776 | 0 | 8 |
_iPrinted edition: _z9783030770716 |
776 | 0 | 8 |
_iPrinted edition: _z9783030770723 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-77070-9 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c177913 _d177913 |