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Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities Designing For Sustainability 1st Ed 2022 Panos M Pardalos Editor

  • SKU: BELL-37576126
Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities Designing For Sustainability 1st Ed 2022 Panos M Pardalos Editor
$ 35.00 $ 45.00 (-22%)

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Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities Designing For Sustainability 1st Ed 2022 Panos M Pardalos Editor instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 7.85 MB
Pages: 243
Author: Panos M. Pardalos (editor), Stamatina Th. Rassia (editor), Arsenios Tsokas (editor)
ISBN: 9783030844585, 9783030844592, 9783030844615, 3030844587, 3030844595, 3030844617
Language: English
Year: 2022
Edition: 1st ed. 2022
Volume: 186

Product desciption

Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities Designing For Sustainability 1st Ed 2022 Panos M Pardalos Editor by Panos M. Pardalos (editor), Stamatina Th. Rassia (editor), Arsenios Tsokas (editor) 9783030844585, 9783030844592, 9783030844615, 3030844587, 3030844595, 3030844617 instant download after payment.

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.

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