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Artificial Intelligence, Machine Learning, and Optimization Tools for Smart C...

Description: Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities : Designing for Sustainability, Hardcover by Pardalos, Panos M. (EDT); Rassia, Stamatina T. (EDT); Tsokas, Arsenios (EDT), ISBN 3030844587, ISBN-13 9783030844585, Brand New, Free shipping in the US 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 environments Th 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.

Price: 95.46 USD

Location: Jessup, Maryland

End Time: 2024-08-16T23:43:44.000Z

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Artificial Intelligence, Machine Learning, and Optimization Tools for Smart C...

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Book Title: Artificial Intelligence, Machine Learning, and Optimization Tools

Number of Pages: VIII, 235 Pages

Language: English

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

Publisher: Springer International Publishing A&G

Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, General, Optimization

Publication Year: 2022

Item Weight: 18.9 Oz

Type: Textbook

Subject Area: Mathematics, Computers, Science

Author: Stamatina Th. Rassia

Item Length: 9.3 in

Item Width: 6.1 in

Series: Springer Optimization and Its Applications Ser.

Format: Hardcover

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