Deep learning has attracted wide attention recently because of its excellent feature
representation ability and end-to-end automatic learning method. Especially in clinical …

Many extensions and modifications have been made to standard process monitoring
methods such as the exponentially weighted moving average (EWMA) chart and the …

Objective To compare the demographic and clinical features, management, and outcomes
for patients admitted with COVID‐19 to intensive care units (ICUs) during the first, second …

Heat networks play a vital role in the energy sector by offering thermal energy to residents in
certain countries. Effective management and optimization of heat networks require a deep …

We show that the so‐called modified exponentially weighted moving average (EWMA)
control chart is very closely related to a moving average‐based EWMA chart. These charts …

The mixed control chart is proposed to improve detection performance with fewer process
shifts. In this study, we proposed the modified exponentially weighted moving average …

Cell-free massive multiple-input multiple-output (MIMO) can resolve the inter-cell
interference issue in cellular networks through cooperative beamforming of the distributed …

Many processes in nature are the result of many coupled individual subsystems (like
population dynamics or neurosystems). Not always such systems exhibit simple stable …

Purpose The purpose of this paper is to investigate and review the impact of the use of
statistical quality control (SQC) development and analytical and numerical methods on …

Software-defined networking (SDN) uses a controller to manage the network. Applying SDN
to resist distributed denial-of-service flood (DDoS-F) attacks receives attention. A controller …