Smart City

This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.

This book focuses on the potential benefits that the so-called smart technologies have been bringing to the urban reality and to the management and governance of the city, simultaneously highlighting the necessity for its responsible and ethically guided deployment, respecting essential humanistic values.

This book sets out to address some of the issues that a smart city needs to overcome to make use of both the data currently available to them and how this can be enhanced by using emerging technology enabling a citizen to share their personal data, adding value.

This book of the conference proceedings focuses on innovative design, technology and methods in the fields of building, civil engineering and smart city. It contains a large number of detailed design, construction and performance analysis charts, benefited to students, teachers, research scholars and other professionals in related fields. As well, readers will encounter new ideas for realizing more safe, intelligent and economical buildings.

In a world characterised by rapid urbanisation it is increasingly difficult to devise urban governance models which are resilient, safe and inclusive, and that also preserve the environment. This book takes Singapore, a leader in this field, as a case study, looking at its successes in urban governance and smart city planning.