Wireless Sensor Networks (WSNs) are important and necessary platforms for the future as
the concept “Internet of Things” has emerged lately. They are used for monitoring, tracking …

The well-known backpropagation learning algorithm is implemented in a field-
programmable gate array (FPGA) board and a microcontroller, focusing in obtaining efficient …

In the application of the Internet of Things (IoT), a sensor board depends on a battery that
has a limited lifetime to function. Furthermore, the IoT sensor board with multivariate sensors …

The world is moving toward a new connected world in which millions of intelligent
processing devices communicate with each other to provide services in transportation …

Outlier detection is the task of classifying test data that differ in some respect from the data
that are available during training. This may be seen as one-class classification, in which a …

Wireless sensor networks (WSNs) are increasingly used as platforms for collecting data from
unattended environments and monitoring important events in phenomena. However, sensor …

A wireless sensor network (WSN) deploys hundreds or thousands of nodes that may
introduce large-scale data over time. Dealing with such an amount of collected data is a real …

This paper proposes an effective fault detection and identification method for systems which
perform in multiple processes. One such type of system investigated in this paper is …

In wireless sensor networks a large amount of data is collected for each node. The
challenge of transferring these data to a sink, because of energy constraints, requires …

With the advances in sensor technology, sensor nodes, the tiny yet powerful device are used
to collect data from the various domain. As the sensor nodes communicate continuously …