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Learning and Analytics in Intelligent Systems

Learning and Analytics in Intelligent Systems

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Learning and Analytics in Intelligent Systems

Tsihrintzis, George A.; Virvou, Maria; Marinakis, Vangelis; Jain, Lakhmi C.

This book focuses on “human-smart city interaction,” exploring how people engage with smart technologies and how human factors influence the “citizen experience.” Smart cities aim to enhance urban life by infusing digital technologies, data analytics, and artificial intelligence into city functions. Through widespread use of ICT, they streamline operations, cut costs, and improve citizen experiences by analyzing real-time data from sensors, infrastructure, and residents. Yet, their full potential remains largely underused.
It is intended for academics, researchers, practitioners, and students in fields like engineering, artificial intelligence, policy, and governance, while remaining accessible to readers from other disciplines as well. Authored by leading researchers, each chapter includes extensive references for deeper exploration of specific smart city applications.

Details

Published by: Springer

Publication Date: 2026-01-03

Format: Hardcover

ISBN-13: 9783032063632

DOI: 10.1007/978-3-032-06364-9

Dimensions: 235cm x155cm

Pages: 322

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