Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/124218
Título: | Artificial Intelligence for a Sustainable Industry 4.0 | Autores/as: | Awasthi, Shashank Travieso-González, Carlos M. Sanyal, Goutam Singh, Dinesh Kumar |
Clasificación UNESCO: | 3307 Tecnología electrónica | Palabras clave: | Artificial Intelligence In Big Data Analytics Artificial Intelligence In Healthcare Artificial Intelligence In Multimedia Technology Artificial Intelligence In Security And Surveillance Energy Conservation Using Ai Technology, et al. |
Fecha de publicación: | 2021 | Publicación seriada: | Artificial Intelligence For A Sustainable Industry 4.0 | Resumen: | This 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. | URI: | http://hdl.handle.net/10553/124218 | ISBN: | 9783030770709 | DOI: | 10.1007/978-3-030-77070-9 | Fuente: | Artificial Intelligence for a Sustainable Industry 4.0[EISSN ], p. 1-307, (Octubre 2021) |
Colección: | Libro |
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