Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    UID:
    almafu_9961213459602883
    Format: 1 online resource (253 pages)
    Edition: 1st ed. 2023.
    ISBN: 3-031-32828-0
    Series Statement: Studies in Big Data, 128
    Content: This book illustrates how the advanced technology developed for smart cities requires increasing interaction with citizens to motivate and incentive them. Megacities' needs have been encouraging for the creation of smart cities in which the needs of inhabitants are collected using virtualization and digitalization systems. On the other hand, machine learning algorithms have been implemented to provide better solutions for diverse areas in smart cities, such as transportation and health. Besides, conventional electric grids have transformed into smart grids, improving energy quality. Gamification, serious games, machine learning, dynamic interfaces, and social networks are some elements integrated holistically to provide novel solutions to design and develop smart cities. Also, this book presents in a friendly way the concept of social devices that are incorporated into smart homes and buildings. This book is used to understand and design smart cities where citizens are strongly interconnected so the demand response time can be reduced.
    Note: The Smart C3 Model – Smart Citizens, Communities and Cities -- Connected Citizens are Smart Citizens -- Keystone for Smart Communities - Smart Households -- Smart communities -- Smart communities and cities as a unified concept.
    Additional Edition: Print version: Ponce, Pedro Data and AI Driving Smart Cities Cham : Springer International Publishing AG,c2023 ISBN 9783031328275
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages