Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

A network surveillance approach using machine learning based control charts

9 references·16 citing·44 second hop

FromToDepth

this work references cited by second hop

References

2021Introduction to statistical quality control252 cited
2009Profile monitoring for a binary response124 cited
2019Control chart pattern recognition using the convolutional neural network114 cited
2020A cost-sensitive convolution neural network learning for control chart pattern recognition97 cited
2007A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes96 cited
2019Robust adaptive multivariate Hotelling's T2 control chart based on kernel density estimation for intrusion detection system56 cited
2016Phase II monitoring of generalized linear profiles using weighted likelihood ratio charts54 cited
2019An EWMA control chart for categorical processes with applications to social network monitoring52 cited
2010Application of artificial neural networks in linear profile monitoring45 cited

Cited by

2024Monitoring multistage healthcare processes using state space models and a machine learning based framework37 cited
2023Employing machine learning techniques in monitoring autocorrelated profiles29 cited
2023A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders27 cited
2025Explainable AI for trustworthy intelligent process monitoring26 cited
2023

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

New Machine-Learning Control Charts for Simultaneous Monitoring of Multivariate Normal Process Parameters with Detection and Identification

18 cited

2023A novel application of statistical process control charts in financial market surveillance with the idea of profile monitoring17 cited

2024Developing Machine Learning-based Control Charts for Monitoring Different GLM-type Profiles With Different Link Functions17 cited

2024Assessing the economic-statistical performance of an attribute SVSSI-np control chart based on genetic algorithms16 cited

2026A review of artificial intelligence impacting statistical process monitoring and future directions12 cited

2025Research on variable-length control chart pattern recognition based on sliding window method and SECNN-BiLSTM12 cited

2023A self-starting non-restarting CUSUM chart for monitoring Poisson count data with time-varying sample sizes11 cited

2025Hybrid Statistical Process Monitoring of Wire Arc Additive Manufacturing With Frequency‐Informed Deep Learning11 cited

2023Deviance and Pearson Residuals-Based Control Charts with Different Link Functions for Monitoring Logistic Regression Profiles: An Application to COVID-19 Data10 cited

2024Surveillance of high‐yield processes using deep learning models10 cited

2025Robust Multivariate Dispersion Charts for Quality Control: Application to Sulfur Dioxide Monitoring10 cited

2024Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data9 cited