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020 _a9783030770709
_9978-3-030-77070-9
024 7 _a10.1007/978-3-030-77070-9
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _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.
300 _aXVI, 307 p. 163 illus., 130 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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