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
Vista completa

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.