Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/124218
Campo DC Valoridioma
dc.contributor.authorAwasthi, Shashanken_US
dc.contributor.authorTravieso-González, Carlos M.en_US
dc.contributor.authorSanyal, Goutamen_US
dc.contributor.authorSingh, Dinesh Kumaren_US
dc.date.accessioned2023-08-31T10:25:02Z-
dc.date.available2023-08-31T10:25:02Z-
dc.date.issued2021en_US
dc.identifier.isbn9783030770709en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/124218-
dc.description.abstractThis 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.en_US
dc.languageengen_US
dc.relation.ispartofArtificial Intelligence For A Sustainable Industry 4.0
dc.sourceArtificial Intelligence for a Sustainable Industry 4.0[EISSN ], p. 1-307, (Octubre 2021)en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherArtificial Intelligence In Big Data Analyticsen_US
dc.subject.otherArtificial Intelligence In Healthcareen_US
dc.subject.otherArtificial Intelligence In Multimedia Technologyen_US
dc.subject.otherArtificial Intelligence In Security And Surveillanceen_US
dc.subject.otherEnergy Conservation Using Ai Technologyen_US
dc.subject.otherIndustry 4.0 And Aien_US
dc.subject.otherIntelligent And Smart Grid Systemsen_US
dc.subject.otherOptimizations Using Deep Learningen_US
dc.subject.otherRobotic Process Automationen_US
dc.subject.otherSustainable Development Using Aien_US
dc.titleArtificial Intelligence for a Sustainable Industry 4.0en_US
dc.typeinfo:eu-repo/semantics/booken_US
dc.typeBooken_US
dc.identifier.doi10.1007/978-3-030-77070-9en_US
dc.identifier.scopus85164391069-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid57190968699-
dc.contributor.authorscopusid57219115631-
dc.contributor.authorscopusid35276165000-
dc.contributor.authorscopusid58287697400-
dc.description.lastpage307en_US
dc.description.firstpage1en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Libroen_US
dc.utils.revisionen_US
dc.date.coverdateOctubre 2021en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
Colección:Libro
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