In the big data era, with the large volume of available data collected by various sensors
deployed in urban areas and the recent advances in AI techniques, urban computing has …

This edited book is a collection of quality research articles reporting research advances in
the area of deep learning, IoT and urban computing. It describes new insights based on …

Rapid urbanization has brought about great challenges to our daily lives, such as traffic
congestion, environmental pollution, energy consumption, public safety, and so on …

Increasing traffic, population, and public safety are major issues of cities. Many cities face
social and environmental sustainability challenges such as pollution and environmental …

With the increased accuracy available from state of the art deep learning models and new
embedded devices at the edge of the network capable of running and updating these …

Recently, the concept of smart cities has been linked to artificial intelligence (AI)
technologies, which greatly help in improving the efficiency of various applications related to …

Recent global smart city efforts resemble the establishment of electricity networks when
electricity was first invented, which meant the start of a new era to sell electricity as a utility. A …

This chapter overviews Part V of this book themed urban computing. This part of the book
covers the topics of visual analytics, cloud, edge, and mobile computing, data mining and …

Urban computing is a process of acquisition, integration and analysis of big and
heterogeneous data generated by a diversity of sources in urban spaces, such as sensors …

Recently, the smart city has evolved as a global model and several institutions have adopted
this concept to facilitate the citizens with the comfort and quality of life exploiting the progress …