Results 71 to 80 of about 3,947 (212)

A Spatiotemporal Scheme for Process Control Using Image Analysis of Speckle Patterns

Quality and Reliability Engineering International, Volume 41, Issue 5, Page 1773-1788, July 2025.
ABSTRACT Conventional image‐based process control schemes require distinct, detectable features (e.g., edges or textures). In the absence of such features, current methods fail or require additional preprocessing. They are also prone to false detections from random noise, dirt, or scratches on the surface.
Hamed Sabahno, Davood Khodadad
wiley   +1 more source

Review on Information Fusion‐Based Data Mining for Improving Complex Anomaly Detection

WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 2, June 2025.
The performance of information fusion techniques within the framework of various anomaly detection methods applied in sensor data mining. ABSTRACT Anomaly predicated upon multiple distributed hybrid sensors frequently uses hybrid approaches, integrating techniques derived from statistical analysis, probability, data mining, machine learning, deep ...
Sorin‐Claudiu Moldovan, Laszlo Barna Iantovics   +1 more
wiley   +1 more source

The Usage of Time Series Control Charts for Financial Process Analysis [PDF]

Journal of Competitiveness, 2012
We will deal with financial proceedings of the company using methods of SPC (Statistical Process Control), specifically through time series control charts.
Kovářík Martin, Klímek Petr
doaj  

Multivariate Statistical Process Control Charts: An Overview [PDF]

In this paper we discuss the basic procedures for the implementation of multivariate statistical process control via control charting. Furthermore, we review multivariate extensions for all kinds of univariate control charts, such as multivariate ...
Bersimis, Sotiris, Panaretos, John, Psarakis, Stelios   +2 more
core   +1 more source

Tensor‐based process control and monitoring for semiconductor manufacturing with unstable disturbances

Naval Research Logistics (NRL), Volume 72, Issue 3, Page 356-371, April 2025.
Abstract With the development and popularity of sensors installed in manufacturing systems, complex data are collected during manufacturing processes, which brings challenges for traditional process control methods. This paper proposes a novel process control and monitoring method for the complex structure of high‐dimensional image‐based overlay errors
Yanrong Li, Juan Du, Fugee Tsung, Wei Jiang   +3 more
wiley   +1 more source

An Examination of the Robustness to Non Normality of the EWMA Control Charts for the Dispersion [PDF]

The EWMA control chart is used to detect small shifts in a process. It has been shown that, for certain values of the smoothing parameter, the EWMA chart for the mean is robust to non normality.
Maravelakis, Petros, Panaretos, John, Psarakis, Stelios   +2 more
core   +1 more source

Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?

Applied Stochastic Models in Business and Industry, Volume 41, Issue 2, March/April 2025.
ABSTRACT The paper arises from the experience of Applied Stochastic Models in Business and Industry which has seen, over the years, more and more contributions related to Machine Learning rather than to what was intended as a stochastic model. The very notion of a stochastic model (e.g., a Gaussian process or a Dynamic Linear Model) can be subject to ...
Fabrizio Ruggeri, David Banks, William S. Cleveland, Nicholas I. Fisher, Marcos Escobar‐Anel, Paolo Giudici, Emanuela Raffinetti, Roger W. Hoerl, Dennis K. J. Lin, Ron S. Kenett, Wai Keung Li, Philip L. H. Yu, Jean‐Michel Poggi, Marco S. Reis, Gilbert Saporta, Piercesare Secchi, Rituparna Sen, Ansgar Steland, Zhanpan Zhang   +18 more
wiley   +1 more source

Prediction of stock prices with automated reinforced learning algorithms

Expert Systems, Volume 42, Issue 2, February 2025.
Abstract Predicting stock price movements remains a major challenge in time series analysis. Despite extensive research on various machine learning techniques, few models have consistently achieved success in automated stock trading. One of the main challenges in stock price forecasting is that the optimal model changes over time due to market dynamics.
Said Yasin, Adrian Paschke, Jamal Al Qundus   +2 more
wiley   +1 more source

An Exact Formula for the Average Run Length to False Alarm of the Generalized Shiryaev-Roberts Procedure for Change-Point Detection under Exponential Observations

, 2014
We derive analytically an exact closed-form formula for the standard minimax Average Run Length (ARL) to false alarm delivered by the Generalized Shiryaev-Roberts (GSR) change-point detection procedure devised to detect a shift in the baseline mean of a ...
A Novikov, A Tartakovsky, AG Tartakovsky, AG Tartakovsky, AG Tartakovsky, AG Tartakovsky, AG Tartakovsky, AN Shiryaev, AN Shiryaev, AN Shiryaev, AS Polunchenko, AS Polunchenko, AS Polunchenko, AS Polunchenko, AS Polunchenko, AS Polunchenko, B Yakir, ES Page, FF Gan, FF Gan, G Lorden, GV Moustakides, HV Poor, J DeLucia, M Pollak, M Pollak, M Pollak, M Pollak, M Woodroofe, R Kenett, R Kenett, S Knoth, S Vardeman, SW Roberts, SW Roberts, VV Veeravalli, Y Mei, Y Mevorach   +37 more
core   +1 more source

Eyes wide shut? The U.S. house market bubble through the lense of statistical process control [PDF]

, 2012
While most economists agree that the recent worldwide financial crises evolved as a consequence of the US house price bubble, the related literature yet failed to deliver a consensus on the question when exactly the bubble started developing.
Berlemann, Michael, Freese, Julia, Knoth, Sven   +2 more
core   +2 more sources