Results 81 to 90 of about 420,626 (277)

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

open access: yesWIREs 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   +1 more
wiley   +1 more source

Triple exponentially weighted moving average control chart with measurement error

open access: yesScientific Reports, 2023
Measurement error (M.E) can have a substantial impact on quality control applications, diminishing the sensitivity to detect changes in the mean or variance of quality characteristics.
Jing Wang   +4 more
doaj   +1 more source

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

open access: yesNaval 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   +3 more
wiley   +1 more source

Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters [PDF]

open access: gold, 2021
Ali Yeganeh   +4 more
openalex   +1 more source

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

open access: yesApplied 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   +18 more
wiley   +1 more source

A Study Of Exponentially Weighted Moving Average (Ewma) Methodologies [PDF]

open access: yes, 1993
Tesis ini adalah berkenaan dengan penggunaan carta PBBE, suatu alternatif kepada carta Shewhart dan Carta Hasil Tambah Longgokan (HTL), untuk mengesan perubahan yang berlaku di dalam suatu proses.
Lee, Toh Tong
core  

Limit Properties of EWMA Charts for Stationary Processes [PDF]

open access: yes, 2012
In this paper we consider a general family of EWMA charts for an arbitrary parameter of the target process. Our assumptions on the target process are very weak and they are usually satisfied if it is stationary. We distinguish between the EWMA chart based on the exact variance and the EWMA scheme based on the asymptotic variance.
Morais, Manuel Cabral   +2 more
openaire   +1 more source

Prediction of stock prices with automated reinforced learning algorithms

open access: yesExpert 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   +2 more
wiley   +1 more source

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