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Springer Machine Learning Smart City Applications - Springer Book

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Description

Explore cutting-edge machine learning techniques specifically designed for smart city applications in this comprehensive Springer publication. This book examines current trends and practical solutions for implementing artificial intelligence in urban environments, addressing real-world challenges faced by city planners, technology managers, and enterprise leaders. Part of the Advances in Science, Technology & Innovation series, it provides essential insights into how machine learning can optimise city infrastructure, improve public services, and drive sustainable urban development. Ideal for professionals seeking to understand the intersection of AI technology and smart city strategy, this resource delivers both theoretical foundations and actionable approaches for leveraging machine learning in metropolitan settings.

Key Features

Springer publication covering machine learning applications specifically tailored for smart city infrastructure and urban technology solutions.

Part of the Advances in Science, Technology & Innovation series, offering peer-reviewed research and industry-leading expertise.

Focuses on current trends in machine learning for smart cities, helping professionals stay informed on emerging technologies and methodologies.

Provides practical solutions for implementing machine learning in real-world urban environments and city management scenarios.

Suitable for managers, consultants, and decision-makers looking to understand AI's role in smart city development and digital transformation.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
20 September 2023
Listed Since
24 August 2023

Barcode

No barcode data available

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