Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities, 1st ed. 2022
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※上記表示の販売価格は割引適用後の価格です 出版済み 3週間でお届けいたします。 Designing for Sustainability Series: Springer Optimization and Its Applications Author: Pardalos, Panos M. / Rassia, Stamatina Th. / Tsokas, Arsenios(Editor) Publisher: Springer ISBN: 9783030844585 Cover: HARDCOVER Date: 2022年01月 DESCRIPTION Cities as Convergent Autopoietic Systems (V. Dobrev).- Digital ‘Vitalism’ and its ‘Epistemic’ Predecessors: ‘Smart’ Neoteric History and Contemporary Approaches (Moraitis).- Unbuildable Cities (Th. Rassia).- Smart Cities as Identities (Tsoniotis).- A Cross-domain Landscape of ICT Services in Smart Cities (Bunhova).- A Novel Data Representation Method for Smart Cities’ Big Data (N. Nagy).- A Pedestrian Level Strategy to Minimize Outdoor Sunlight Exposure (X. Li).- Planning and Management of Charging Facilities for Electric Vehicle Sharing (W. Qi).- A Reactive Architectural Proposal for Fog/edge Computing in the Internet of Things Paradigm with Application in Deep Learning (Belmonte-Fernandez).- Urban Big Data: City Management and Real Estate Markets (Saiz).- Social Media-based Intelligence for Disaster Response and Management in Smart Cities (Khatoon). TABLE OF CONTENTS This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities.Special features include: New research on the design of city elements and smart systems with respect to new technologies and scientific thinkingDiscussions on the theoretical background that lead to smart cities for the futureNew technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environmentsThe book engages students and researchers in the subjects of artificial intelligence, machine learning, and optimization tools in smart sustainable cities as eminent international experts contribute their research results and thinking in its chapters. Overall, its audience can benefit from a variety of disciplines including, architecture, engineering, physics, mathematics, computer science, and related fields.
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