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Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, (Hardcover)
Item #: 155259193

Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, (Hardcover)

Item #: 155259193

AED 730

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    What Stands Out

    Human-Centric Design
    Emphasizes user experience and interactivity, ensuring that edge computing solutions are tailored to meet the real-world needs and preferences of individuals and communities.
    Cutting-Edge Intelligence
    Integrates advanced machine learning algorithms, enabling smarter decision-making and analytics directly at the edge, significantly reducing latency and bandwidth use.
    Comprehensive Learning
    Provides in-depth insights and frameworks for implementing edge computing strategies, empowering organizations with the knowledge to leverage technology effectively for improved outcomes.

    Product Details

    Shop Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, (Hardcover) online at a best price in UAE. 2353643044
    Book formatHardcover
    Fiction/nonfictionNon-Fiction
    GenreComputing & Internet
    Publication dateJune, 2023
    Pages172
    SubgenreArtificial Intelligence
    Series titleNo Series
    Edition2023 Edition
    PublisherSpringer International Publishing
    Original languagesEnglish
    LanguageEnglish
    Edu focusTechnology
    Educational levelHigher
    Awards wonNSF CAREER Award, Google Faculty Research Award, Young Investigator Program (YIP) Award from Army Research Office, NSF CRII Award, Wing Kai Cheng Fellowship from University of Illinois, the Best Paper Award of 2022 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM), the Best Paper Award of 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), the Best Paper Award Candidate from 8th IEEE International Conference on Smart Computing (SMARTCOMP)
    Is collectibleN
    Binding typeCase Binding
    Recording time0 min
    Retail packagingSingle Piece
    Assembled product dimensions (l x w x h)6.14 x 0.50 x 9.21 in (15.6 x 1.3 x 23.4 cm)
    Assembled product weight0.98 lb (440 grams)
    Bisac subject headingComputers

    Who Should Buy?

    Suitable For
    • Technical Professionals

      Ideal for engineers and developers looking to implement edge computing solutions with a human-centric approach.

    • Academics and Researchers

      Perfect for researchers studying the intersection of edge computing, AI, and social impact in technology.

    • Business Leaders

      A valuable resource for executives aiming to leverage edge computing for competitive advantage in their industries.

    Not Suitable For
    • Casual Readers

      Not suitable for individuals looking for light reading or non-technical content in technology topics.

    Product Description

    Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, (Hardcover)

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    Dong Wang All Books Editorial Review

    Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, is a compelling non-fiction hardcover published in June 2023 that spans 172 pages. This book delves into the intricate relationship between artificial intelligence and edge computing, emphasizing a human-centric approach. It is aimed at higher educational levels and showcases the author's significant accolades, including multiple best paper awards and prestigious research grants. Such recognition underlines the book's value in both academic and practical contexts, making it an essential read for technology enthusiasts. Readers interested in the future of computing will find insights that guide the integration of AI into everyday life.

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    Pros

    • Hardcover format enhances durability
    • Focus on human-centric edge computing
    • Recognized with numerous prestigious awards
    • Comprehensive overview of AI integration
    • Suitable for higher educational levels

    Cons

    • Content may be too technical for casual readers

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