Artificial Intelligence Machine Learning and Optimization Tools for Smart Cities

This book PDF is perfect for those who love Mathematics genre, written by Panos M. Pardalos and published by Springer Nature which was released on 09 January 2022 with total hardcover pages 239. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Artificial Intelligence Machine Learning and Optimization Tools for Smart Cities books below.

Artificial Intelligence  Machine Learning  and Optimization Tools for Smart Cities
Author : Panos M. Pardalos
File Size : 47,6 Mb
Publisher : Springer Nature
Language : English
Release Date : 09 January 2022
ISBN : 9783030844592
Pages : 239 pages
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Artificial Intelligence Machine Learning and Optimization Tools for Smart Cities by Panos M. Pardalos Book PDF Summary

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.

Artificial Intelligence  Machine Learning  and Optimization Tools for Smart Cities

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

Get Book
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