Frequent and wide changes in operation conditions are quite common in real process
industry, resulting in typical wide-range nonstationary and transient characteristics along …

In today's competitive landscape, fulfilling customer expectations and achieving a
competitive edge are crucial for business success. These objectives can be attained by …

The coefficient of variation (CV) usually describes the relative dispersion in production or
service processes and has been widely applied in various fields. Monitoring the CV has …

Stock market timing is regarded as a challenging task of financial prediction. An accurate
prediction of stock trend can yield great profits for investors. At present, recurrent neural …

In this study, we introduce an Adaptive Exponentially Weighted Moving based Coefficient of
Variation (AEWMCV) control chart, designed to address situations where the process mean …

Attribute charts are used widely for monitoring binary events in manufacturing, service, and
healthcare processes. While Shewhart type charts are efficacious in detecting large or …

Although it is well known that the performance of attribute control charts decreases
significantly when the assumption of known process parameters is invalid, this assumption is …

Aiming at the problem that the traditional mechanomyography (MMG) pattern recognition
model for upper limb rehabilitation action has poor recognition effect on non-identical …

In order to provide a balanced protection against a range of shift sizes in high-quality
processes, a new one-sided adaptive truncated exponentially weighted moving average …

This paper presents a new method for recognition of nine control chart patterns (CCPs)
based on the intelligent use of shape and statistical features and optimized fuzzy system …