
Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development
Description
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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.
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Persons
Hongan Wang is currently a Professor with the Institute of Software, Chinese Academy of Sciences. He is also the Director of Beijing Key Laboratory of Human Computer Interaction. He received his Ph.D. degree from the Institute of Software, Chinese Academy of Sciences, Beijing, China, in 1999. He has published over 120 papers on important journals and conferences. Prof. Wang won the Second Prize of the 2018 National Science and Technology Progress Award and the First Prize of the 2015 Beijing Science and Technology Award. His research interests include human-computer interaction, real-time intelligence, and real-time database.
Cuixia Ma is currently a Professor with the University of Chinese Academy of Science and the Institute of Software, Chinese Academy of Sciences. She received her B.S. and M.S. degrees from Shandong University, China, in 1997 and 2000, respectively, and her Ph.D. degree from the Institute of Software, Chinese Academy of Sciences, Beijing, China, in 2003. She was the 2019 Newton Prize recipient and received the First Prize of the 2015 Beijing Science and Technology Award. Her research interests include natural user interface, sketch interaction, multimodal fusion, and visual analysis.
Content
2. Crowdsourcing and Crowdsensing as Smart Rural service Platform Technology.
3. Integrating Crowdsourcing and Digital Twin Technologies for Smart Service Design and Servicing Platform. 4. Digital Technologies for Inclusive Healthy Ageing.
5. Smart Rural Services for Managing Plant Diseases, Livestock and Medical.
6. Sustainable Mental Health Service Model and Services for Rural Schools.
7. Smart Building.
8. Natural and Emotional Interaction Techniques with AI for Smart Services.
9. Home-based Electric Generator Design for Remote Rural Areas with Thermoelectric Generation Technology.
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