Abstract Internet of Things (IoT) is often envisioned as a paradigm shift from the traditional
Internet to a scenario where all the “things” will be connected with the Internet. IoT forced the …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

Detection of outliers and boundary points represents an effective, interesting and potentially
valuable pattern, which may be more important than that of normal points. In order to detect …

The quality of dataset measured and collected by wireless sensor networks (WSN) is often
affected by noise and error that are inherent to resource-constrained sensor nodes. The …

Timely assessment of structural conditions of water diversion pipelines and taking necessary
precautions are essential to ensure the operational safety of large water diversion structures …

Context-awareness refers to the ability of an application to understand the situation from the
sensed information and provides service (s) accordingly with the minimum human …

Wireless sensor network (WSN) based SHM systems have shown significant improvement
as compared to traditional wired-SHM systems in terms of cost, accuracy, and reliability of …

Event monitoring is the main purpose of monitoring applications based on wireless sensor
networks (WSNs). To realize the autonomous representation of tunnel disasters in WSNs …

Due to limited resources and harsh deployment environments, data outliers frequently rise in
wireless sensor networks (WSNs). Hence, the collected data observations contain poor data …

Considering the characteristics of the vibration data detected by the unstable regulation
process in the grinding and grading control system and the shortcomings of the traditional …