Over the period, two significant advancements ie shrinking of the sensor size and improved
communication capability, lead the sensor-based internet-of-things (SBIoT) to mature …

High-dimensional data refers to a dataset that contains many variables or features, typically
with many more features p than observations n (ie n< p). With technological advancements …

High-dimensional data monitoring and diagnosis has recently attracted increasing attention
among researchers as well as practitioners. However, existing process monitoring methods …

We introduce a new method for high-dimensional, online changepoint detection in settings
where ap-variate Gaussian data stream may undergo a change in mean. The procedure …

Abstract “Big data” is a buzzword these days due to an enormous amount of data-rich
applications in different industries and research projects. In practice, big data often take the …

In many real-world problems of real-time monitoring high-dimensional streaming data, one
wants to detect an undesired event or change quickly once it occurs, but under the sampling …

There are always challenges in various industrial or non-industrial processes in which the
product quality/service is described by a large number of quality characteristics. Thus …

With the improvement of data-acquisition technology, big data streams that involve
continuous observations with high dimensionality and large volume frequently appear in …

With the rapid advancement of sensor technology, a huge amount of data is generated in
various applications, which poses new and unique challenges for statistical process control …

Statistical process control techniques have been widely used for online process monitoring
and diagnosis of streaming data in various applications, including manufacturing …