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Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities: Designing for Sustainability Panos 9783030844592 3030844595

Name: Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities: Designing for Sustainability Panos 9783030844592 3030844595
SKU: EB-37576126
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Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities: Designing for Sustainability Panos M. Pardalos (Editor) Digital Instant Download

Author(s): Panos M. Pardalos (editor), Stamatina Th. Rassia (editor), Arsenios Tsokas (editor)

ISBN(s): 9783030844585, 9783030844592, 9783030844615, 3030844587, 3030844595, 3030844617

Edition: 1st ed. 2022

File Details: PDF, 7.85 MB

Year: 2022

Language: English

SKU: EB-37576126 Category: Computers - Artificial Intelligence (AI) Tags: Artificial Intelligence, Machine Learning, Optimization Tools, Smart Cities, Sustainability

Description

Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities: Designing for Sustainability Panos M. Pardalos (Editor) – Ebook Instant Download/Delivery ISBN(s): 9783030844585,9783030844592,9783030844615,3030844587,3030844595,3030844617

Product details:

ISBN 10:3030844595
ISBN 13:9783030844592
Author: Panos

Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities
Designing for Sustainability

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 thinking Discussions on the theoretical background that lead to smart cities for the future New technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environments The 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.

Table contents:

Cities as Convergent Autopoietic Systems
Digital “Vitalism” and its “Epistemic” Predecessors: “Smart” Neoteric History and Contemporary Approaches
Unbuildable Cities
Smart Cities as Identities
A Cross-Domain Landscape of ICT Services in Smart Cities
A Novel Data Representation Method for Smart Cities’ Big Data
A Pedestrian-Level Strategy to Minimize Outdoor Sunlight Exposure
Planning and Management of Charging Facilities for Electric Vehicle Sharing
A Reactive Architectural Proposal for Fog/Edge Computing in the Internet of Things Paradigm with Application in Deep Learning
Urban Big Data: City Management and Real Estate Markets
Social Media-Based Intelligence for Disaster Response and Management in Smart Cities

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