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

by Panos M. Pardalos, Stamatina Th. Rassia, Arsenios Tsokas

Estimated delivery 3-12 business days

Format Paperback

Condition Brand New

Description 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 environmentsThe 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.

Author Biography

Panos M. Pardalos serves as distinguished professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor of industrial and systems engineering. Professor Pardalos is also an affiliated faculty member of the computer and information science department, the Hellenic Studies Center, and the biomedical engineering program. Additionally, he serves as the director of the Center for Applied Optimization. Professor Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, ecommerce, data mining, biomedical applications, and massive computing. Panos Pardalos is a prolific author who lectures all over the world. He is the recipient of a multitude of fellowships and awards, the most recent of which is the Humboldt Research Award (2018).
Stamatina Th. Rassia is an architect engineer holding a diploma in Architecture Engineering from the National Technical University of Athens (NTUA) in Greece. She has an MPhil in Environmental Design in Architecture and a PhD in Architecture from the University of Cambridge in the United Kingdom. Dr. Rassia is an expert on topics of sustainability and public health promotion by architectural design.
Arsenios Tsokas holds a BSc in Mathematics from the Aristotle University of Thessaloniki in Greece and a PhD in Industrial & Systems Engineering from the University of Florida in USA. He has a diverse background including data analysis, optimization, and machine learning.

Details

  • ISBN 3030844617
  • ISBN-13 9783030844615
  • Title Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities
  • Author Panos M. Pardalos, Stamatina Th. Rassia, Arsenios Tsokas
  • Format Paperback
  • Year 2023
  • Pages 235
  • Edition 1st
  • Publisher Springer Nature Switzerland AG
GE_Item_ID:151441039;

About Us

Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love!

Shipping & Delivery Times

Shipping is FREE to any address in USA.

Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated.

International deliveries will take 1-6 weeks.

NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations.

Returns

If you wish to return an item, please consult our Returns Policy as below:

Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted.

Returns must be postmarked within 4 business days of authorisation and must be in resellable condition.

Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit.

For purchases where a shipping charge was paid, there will be no refund of the original shipping charge.

Additional Questions

If you have any questions please feel free to Contact Us.