Results 21 to 30 of about 215 (99)
General adapted‐threshold monitoring in discrete environments and rules for imbalanced classes
Statistica Neerlandica, Volume 79, Issue 1, February 2025.Having in mind applications in statistics and machine learning such as individualized care monitoring, or watermark detection in large language models, we consider the following general setting: When monitoring a sequence of observations, Xt, there may be additional information, Zt, on the environment which should be used to design the monitoring ...
Ansgar Steland +2 more
wiley +1 more source
A control chart for monitoring image processes based on convolutional neural networks
Statistica Neerlandica, Volume 79, Issue 1, February 2025.In this paper, the problem of monitoring image processes with spatially correlated pixels over time is considered. An exponentially weighted moving average (EWMA) control chart for monitoring such processes based on a convolutional neural network (CNN) is proposed.
Yarema Okhrin +2 more
wiley +1 more source
ACR Open Rheumatology, Volume 7, Issue 1, January 2025.Objective This quality improvement project evaluates the feasibility and sustainability of adopting the Patient Health Questionnaire (PHQ) depression screening tool into routine clinical care at a rheumatology fellows’ inflammatory arthritis (IA) clinic at a large tertiary center. The aim was to achieve 50% compliance in documentation of PHQ after five
Jeong Min Yu +4 more
wiley +1 more source
Distribution‐free multivariate process monitoring: A rank‐energy statistic‐based approach
Quality and Reliability Engineering International, Volume 40, Issue 7, Page 4068-4087, November 2024.Abstract In this paper, a multivariate process monitoring scheme based on the rank‐energy statistics is proposed which is suitable for high‐dimensional applications such as sensorless drive diagnosis. The rank‐energy statistic is based on multivariate ranks that is grounded on the measure transportation theory.
Niladri Chakraborty, Maxim Finkelstein
wiley +1 more source
Assessing changes in reliability methods over time: An unsupervised text mining approach
Quality and Reliability Engineering International, Volume 40, Issue 6, Page 3597-3619, October 2024.Abstract Reliability engineering faces many of the same challenges today that it did at its inception in the 1950s. The fundamental issue remains uncertainty in system representation, specifically related to performance model structure and parameterization.
Charles K. Brown, Bruce G. Cameron
wiley +1 more source
Mental Health Science, Volume 2, Issue 3, September 2024.Abstract Statistical process control (SPC) was recently introduced as a method for detecting person‐specific warning signals for mental ill‐health. Such warning signals occur when a person's repeatedly assessed emotions exceed a control limit. This control limit should in principle be based on the same person's emotions in a healthy period.
Marieke J. Schreuder +5 more
wiley +1 more source
Attribute statistical process control under nonconstant process deterioration
Quality and Reliability Engineering International, Volume 40, Issue 5, Page 2638-2657, July 2024.Abstract A statistical process control (SPC) model is introduced that incorporates sample data on the number of defectives and allows the probability that an assignable cause of variation in each time interval of a finite production process to be nonconstant.
Barry R. Cobb
wiley +1 more source
Cumulative sum control charts for monitoring zero‐inflated COM‐Poisson processes
Quality and Reliability Engineering International, Volume 40, Issue 5, Page 2891-2903, July 2024.Abstract The zero‐inflated Conway‐Maxwell Poisson (ZICMP) distribution models count data with many zero observations. ZICMP model has been developed assuming that zero observations exist with probability p$p$ and the number of non‐conformities in a product unit follows the Conway‐Maxwell Poisson (COM‐Poisson) distribution with location parameter λ ...
Konstantinos A. Tasias +1 more
wiley +1 more source
Medical Physics, Volume 51, Issue 6, Page 3961-3971, June 2024.Abstract Background Statistical process control (SPC) is a powerful statistical tool for process monitoring that has been highly recommended in healthcare applications, including radiation therapy quality assurance (QA). The AAPM TG‐218 report described the clinical implementation of SPC for Volumetric Modulated Arc Therapy (VMAT) pre‐treatment ...
Serenella Russo +7 more
wiley +1 more source
Performance of discrete wavelet transform-based method in the detection of influenza outbreaks in Iran: An ecological study. [PDF]
Health Sci Rep, 2023 Minaeian S +3 more
europepmc +1 more source