£128.12

Springer Machine Intelligence and Data Analytics for Smart Cities

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Description

Explore the intersection of advanced technology and urban development with Machine Intelligence and Data Analytics for Sustainable Future Smart Cities. Published by Springer as part of the Studies in Computational Intelligence series (971), this book provides a technical look at how machine intelligence and data analytics contribute to the evolution of smart city environments. This volume is designed for researchers, students, and professionals interested in the application of computational intelligence within urban infrastructures. It addresses the growing need for data-driven solutions to manage and sustain modern cities. By focusing on machine intelligence, the text offers insights into how automated systems and analytical models can support sustainable urban growth. Whether you are studying computer science, artificial intelligence, or machine learning, this publication serves as a specialized resource for understanding the digital transformation of urban spaces. It sits within a recognized academic framework, making it a valuable addition to any professional library focused on the future of computing and smart technology.

Key Features

Part of the Studies in Computational Intelligence series, specifically volume 971, ensuring academic rigor.

Published by Springer, a leading name in scientific and technical literature.

Focuses on the application of machine intelligence and data analytics for urban sustainability.

Targeted toward the fields of computer science, artificial intelligence, and machine learning.

Provides a technical foundation for understanding smart city development through data-driven methods.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 June 2022
Listed Since
06 May 2022

Barcode

No barcode data available

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