Smart cities (SCs) are becoming highly sophisticated ecosystems at which innovative
solutions and smart services are being deployed. These ecosystems consider SCs as data …

The adoption of Internet of Things (IoT) sensing devices is growing rapidly due to their ability
to provide real-time services. However, it is constrained by limited data storage and …

Over the past few years, the semantics community has developed several ontologies to
describe concepts and relationships for internet of things (IoT) applications. A key problem is …

With the development of Internet of Things (IoT), more and more sensors, actuators and
mobile devices have been deployed into our daily lives. The result is that tremendous data …

Abstract Smart Cities use different Internet of Things (IoT) data sources and rely on big data
analytics to obtain information or extract actionable knowledge crucial for urban planners for …

An increasing number of cities are confronted with challenges resulting from the rapid
urbanization and new demands that a rapidly growing digital economy imposes on current …

In industrial Internet of Things applications with sensors sending dynamic process data at
high speed, producing actionable insights at the right time is challenging. A key problem …

Due to the high data volume and non-stationarity of time series data, it is very difficult to
directly use the original data for anomaly detection. In this study, a novel framework of …

Abstract Building Management Systems (BMS) are crucial in the drive towards smart
sustainable cities. This is due to the fact that they have been effective in significantly …

Cities are making significant efforts to implement the Internet of Things (IoT) paradigm, in
which sensors collect data from heterogeneous sources, and advanced software systems …