menu
{ "item_title" : "Iot and Wsn Based Smart Cities", "item_author" : [" Shalli Rani", "Vyasa Sai", "R. Maheswar "], "item_description" : "This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/084/184/3030841847_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Iot and Wsn Based Smart Cities|Shalli Rani

Iot and Wsn Based Smart Cities : A Machine Learning Perspective

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.

This item is Non-Returnable

Details

  • ISBN-13: 9783030841843
  • ISBN-10: 3030841847
  • Publisher: Springer
  • Publish Date: June 2023
  • Dimensions: 9.21 x 6.14 x 0.62 inches
  • Shipping Weight: 0.92 pounds
  • Page Count: 284

Related Categories

You May Also Like...

    1

BAM Customer Reviews