5 papers
Monitoring the Ratio of two Normal Variables using EWMA Type Control Charts in Short Production Runs
Thi Hien Nguyen, Jean-Michel Masereel, Guillaume Tartare +1
In many industrial and engineering applications, process performance is characterized by the ratio of two normally distributed quality characteristics. Monitoring such ratios is pa…
Effect of the measurement errors on one-sided Synthetic-RZ control charts for monitoring the ratio of two normal variables
Kim Duc Tran, Thi Hien Nguyen, Kim Phuc Tran
In numerous industrial production settings, keeping track of the ratio formed by two normally distributed random variables is a task of considerable practical interest. The present…
An Adaptive Upper One-Sided Cumulative Sum Control Chart with Joint Parameter Optimization for Monitoring the Ratio of Two Normal Variables in Short Production Runs
Kim Duc Tran
Monitoring the ratio of two correlated normal variables is increasingly important in statistical process control, since many quality characteristics are expressed in relative rathe…
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
T. Q. D. Pham, K. D. Tran, Khanh T. P. Nguyen +3
As global industries transition towards Industry 5.0 predictive maintenance PM remains crucial for cost effective operations resilience and minimizing downtime in increasingly smar…
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Ali Raza, Shujun Li, Kim-Phuc Tran +2
Adversarial attacks such as poisoning attacks have attracted the attention of many machine learning researchers. Traditionally, poisoning attacks attempt to inject adversarial trai…