Abstract In the Internet of Things (IoT), data gathered from a global-scale deployment of
smart-things, are the base for making intelligent decisions and providing services. If data are …

Recently, we are witnessing an enormous burst of data due to the ever-increasing number of
Internet of Things (IoT) devices. The traditional cloud computing paradigm has failed to …

Health monitoring is an essential part of condition-based maintenance and prognostics and
health management for gas turbines. Various health monitoring systems have been …

The smart cities vision is inexorably turning into a reality. Among the different approaches
used to realize more intelligent and sustainable environments, a common denominator is …

Nowadays, IoT is being used in more and more application areas and the importance of IoT
data quality is widely recognized by practitioners and researchers. The requirements for …

Wireless Sensor Networks (WSNs) are considered to be among the most important scientific
domains. Yet, the exploitation of WSNs suffers from the severe energy restrictions of their …

Given a time series data stream, the generation of error-bounded Piecewise Linear
Representation (error-bounded PLR) is to construct a number of consecutive line segments …

Insufficient real-time in situ data and complicated model parameters are severe barriers for
accurate prediction and precise control of anaerobic digestion (AD) systems. This study …

The quality of data in wireless sensor networks has a significant impact on decision support,
and data cleaning is an effective way to improve data quality. However, if the data cleaning …

Urban sensors are an important part of urban infrastructures and are usually heterogeneous.
Urban sensors with different uses vary greatly in hardware structure, communication …