Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities
Designing for Sustainability
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Beschreibung
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.
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.
Combines interdisciplinary expertise in the subject matter Offers a platform on multivariate information presented Presents concepts, research results, ideas and methods to explore a more complete picture of the interconnection
Autor*in
Panos M. Pardalos
Themen in »Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities«
smart cities artificial intelligence machine learning optimization sustainability mathematical applications environmental design sensors and actuators tools smart city design sustainable architecture autopoietic systems neoteric history cross-domain landscape ICT services electric vehicle sharing
Stimmen zu »Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities«
“The book’s 11 chapters deal with digital ‘vitalism’ in cities … . The chapters are useful for looking at the urban fabric for smart cities, including resiliency, responsiveness, elasticity, interconnection, and asynchronicity between components. … This book therefore immerses readers in many fundamental changes that conceptually model the urban fabric through topics related to artificial intelligence (AI) and machine learning(ML).” (Romina Fucà, Computing Reviews, May 22, 2023)
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