Results 51 to 60 of about 4,537 (202)
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 Study Of Exponentially Weighted Moving Average (Ewma) Methodologies [PDF]
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
Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification
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
THE MIXED UNIVARIATE CONTROL CHART EWMA AND CUSUM FOR FLAVOUR PRODUCTION QUALITY PROCESS MONITORING
A control chart is an important statistical technique used to monitor the average quality of a process or dispersion. Shewhart control chart is used to detect larger disturbances in process parameters.
Surya Puspita Sari +2 more
doaj +1 more source
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
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
In addition to monitoring the Poisson mean rate with step shifts, increasing attention has been given to monitoring Poisson processes subject to linear trends.
Honghao Zhao +3 more
doaj +1 more source
Multivariate control charts based on Bayesian state space models
This paper develops a new multivariate control charting method for vector autocorrelated and serially correlated processes. The main idea is to propose a Bayesian multivariate local level model, which is a generalization of the Shewhart-Deming model for ...
Ameen +49 more
core +1 more source
Enhancing Food Safety in the Cold Chain Through Internet of Things and Artificial Intelligence
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
PREDIKSI NILAI KURS DOLLAR AMERIKA MENGGUNAKAN EXPONENTIAL SMOOTHING DENGAN KAJIAN GRAFIK MOVING AVERAGE (MA) DAN EXPONENTIALLY WEIGHTED MOVING AVERAGE (EWMA) (Studi Kasus: Kurs Jual dan Kurs Beli Dollar Amerika) [PDF]
The exchange rate is an exchange between two different currencies, it will receive the value or price comparisons between two currencies. It is to determine the predictive value of the exchange rate in the next period is done by using Exponential ...
GULTOM, NOVA YANTI
core

