Results 41 to 50 of about 2,311 (163)
Statistica, 2016 Exponentially weighted moving average (EWMA) control charts have been successfully used in recent years in several areas of healthcare. Most of these applications have concentrated on the problem of detecting shifts in the mean level of a process.
Michele Scagliarini +4 more
doaj +1 more source
EWMA Algorithm in Network Practice
International Journal of Computers Communications & Control, 2010 Intrusion detection is used to monitor and capture intrusions into computer and network systems which attempt to compromise their security. Many intrusions manifest in changes in the intensity of events occuring in computer networks. Because of the ability of exponentially weighted moving average (EWMA) control charts to monitor the rate of occurrences
Petar Cisar +2 more
openaire +2 more sources
Stat, 2023 The variable sampling interval (VSI) exponentially weighted moving average (EWMA) chart which varies the chart's sampling interval according to the value of the current plotting statistic increases the speed of the standard EWMA chart in detecting shifts.
Rehana Parvin +3 more
openaire +1 more source
Quality and Reliability Engineering International, Volume 42, Issue 3, Page 1009-1022, April 2026.ABSTRACT Depression is a mental disorder with a high lifetime prevalence and one of the leading causes of disability worldwide. As many patients experience another depressive episode after being treated, predictive monitoring for the risk of relapse is essential for healthcare professionals to be able to follow up on patients and intervene early ...
Paulina von Stackelberg +4 more
wiley +1 more source
A Double Sampling Scheme for Process Mean Monitoring
IEEE Access, 2017 Mean control charts are effective tools for detecting mean shifts of an interesting quality variable in both manufacturing processes and service processes.
Su-Fen Yang, Sin-Hong Wu
doaj +1 more source
Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification
Wind Energy, Volume 29, Issue 4, April 2026.ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry +2 more
wiley +1 more source
International Wound Journal, Volume 23, Issue 3, March 2026.ABSTRACT Person‐centred care (PCC) has been increasingly promoted in wound management, yet its theoretical foundations and practical application remain unclear. This scoping review aimed to map and synthesise how PCC frameworks, concepts and outcome measures have been used in wound care.
Eva‐Maria Panfil +2 more
wiley +1 more source
Water Resources Research, Volume 62, Issue 2, February 2026.Abstract Water resources sustainability hinges upon an efficient and effective regulatory compliance and enforcement strategy that steers the collective actions of interdependent stakeholders. Achieving this goal is particularly challenging for groundwater due to its hidden nature, significant knowledge gaps about its state, its status as a common‐pool
Marcos Canales +4 more
wiley +1 more source
Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters [PDF]
, 2021 Ali Yeganeh +4 more
openalex +1 more source
Enhancing Food Safety in the Cold Chain Through Internet of Things and Artificial Intelligence
Journal of Food Science, Volume 91, Issue 2, February 2026.ABSTRACT Effective cold chain management is crucial for ensuring food safety, but traditional monitoring approaches remain reactive and fragmented. Industry 4.0 technologies, such as the Internet of Things (IoT) and artificial intelligence (AI), offer transformative potential for real‐time tracking, automation, and predictive analytics.
Wagner Augusto Müller +2 more
wiley +1 more source