Results 1 to 10 of about 576,308 (238)

Comparing the performance of Kernel PCA Mix Chart with PCA Mix Chart for monitoring mixed quality characteristics

open access: yesScientific Reports, 2022
Along with the development of information and technology, the quality characteristics of a product cannot be monitored separately in the different types of control charts.
Muhammad Mashuri   +2 more
exaly   +4 more sources

PCA mix‐based Hotelling's T 2 multivariate control charts for intrusion detection system [PDF]

open access: yesIET Information Security, 2022
Most of the data, which is in the field of network intrusion detection, have the characteristics of a mixture of high‐dimensional datasets of continuous and categorical variables.
Mo Shaohui   +2 more
exaly   +3 more sources

Multivariate control chart based on PCA mix for variable and attribute quality characteristics [PDF]

open access: yesProduction and Manufacturing Research, 2018
Two types of control charts exist based on different quality characteristics: variable and attribute. These characteristics are commonly monitored using separate procedures.
Muhammad Mashuri   +2 more
exaly   +3 more sources

Performance of T2-based PCA mix control chart with KDE control limit for monitoring variable and attribute characteristics

open access: yesScientific Reports
In this work, the mixed multivariate T 2 control chart’s detailed performance evaluation based on PCA mix is explored. The control limit of the proposed control chart is calculated using the kernel density approach.
Muhammad Mashuri   +2 more
exaly   +4 more sources

Kernel principal component analysis (PCA) control chart for monitoring mixed non-linear variable and attribute quality characteristics

open access: yesHeliyon, 2022
The products are commonly measured by two types of quality characteristics. The variable characteristics measure the numerical scale. Meanwhile, the attribute characteristics measure the categorical data.
Muhammad Ahsan   +3 more
doaj   +3 more sources

Characterization and C25/30 Valorization of Construction and Demolition Waste Aggregates from Fez, Morocco: A Dreux-Gorisse Mix Design and PCA Approach

open access: yesRecycling
Construction and demolition waste valorization as recycled aggregates remains largely underdeveloped in North African urban contexts. This study presents the first normatively referenced characterization of recycled aggregates from ten sites in Fez ...
Yasmine Boukhlouf   +7 more
exaly   +3 more sources

Comparing the performance of T 2 chart based on PCA Mix, Kernel PCA Mix, and Mixed Kernel PCA for Network Anomaly Detection

open access: yesJournal of Physics: Conference Series, 2021
Abstract Statistical Process Control (SPC) is not only used to monitor the quality of manufacturing processes and services but also is applied to detect intrusions in the network. Hotelling’s T 2 chart is the SPC method that has been widely developed for intrusion detection. However, in its application, the conventional
M Mashuri   +5 more
openaire   +1 more source

PCA driven mixed filter pruning for efficient convNets

open access: yesPLOS ONE, 2022
Deployment of the deep neural networks (DNNs) on resource-constrained devices is a challenging task due to their limited memory and computational power. In most cases, the pruning techniques do not prune the DNNs to full extent and redundancy still exists in these models.
Waqas Ahmed   +3 more
openaire   +5 more sources

Vehicular influence on atmospheric concentrations and source apportionment of polycyclic aromatic hydrocarbons in some major cities in three regions of Ghana using epiphytic lichens

open access: yesToxicology Reports, 2022
The present study employed epiphytic lichens as biomonitor and passive air sampler for the assessment of fifteen (15) atmospheric polycyclic aromatic hydrocarbons (PAHs) in some major cities in three regions of Ghana.
Nathaniel Thompson   +6 more
doaj   +1 more source

A principal component analysis in concrete design

open access: yesBudownictwo o Zoptymalizowanym Potencjale Energetycznym, 2022
Over the last 200 years, ordinary concrete has evolved from four basic ingredient materials (gravel, sand, cement, and water) to multicomponent complex composites. The number and variety of the additives, admixtures, non-conventional aggregates, fillers,
Janusz Kobaka, Jacek Katzer
doaj   +1 more source

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