Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development PDF

Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development PDF

Name:
Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development PDF

Published Date:
01/01/2024

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[ Active ]

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Publisher:
CRC Press Books

Document status:
Active

Format:
Electronic (PDF)

Delivery time:
10 minutes

Delivery time (for Russian version):
200 business days

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ISBN: 9781040048597

This book introduces and demonstrates the state-of-the art research and development in tackling sustainable urban and rural integration, supported by digitalization and digital transformation in rural areas with Industry 4.0/5.0 technologies. Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development is centered around how to deal with the sustainable urban and rural integration with advanced digital technologies such as artificial intelligence (AI), Big Data, Crowdsourcing, Crowdsensing and digital twin applications.

Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development comes from the authors international collaborative projects funded by British Council and National Sciences Foundation of China and our Newton Prize Winning project founded by UK Department for Business, Energy & Industrial Strategy. It covers digital platform design with integrated crowdsourcing, crowdsensing and digital twin technologies for smart community services and governing. The authors discuss smart textile design for health and social care and VR/AR based tele-healthcare services for plants, livestock, and people. It also presents smart building technologies and integrated services for remote rural areas.

This book will be a valuable reference for multidisciplinary researchers, policy makers, urban and rural development engineers, and university students to support their research and work in AI and smart technology applications.

Authors: Shengfeng Qin, Hongan Wang, Cuixia Ma


Edition : 1.
Number of Pages : 287
Published : 01/01/2024
isbn : 9781040048597

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