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This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.
This book constitutes the thoroughly refereed post-proceedings of the 32nd International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2006, held in Bergen, Norway in June 2006. The 30 revised full papers presented together with one invited paper were carefully selected from 91 submissions. The papers address all aspects of graph-theoretic concepts in computer science.
Includes entries for maps and atlases.
Entry includes attestations of the head word's or phrase's usage, usually in the form of a quotation. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com).