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

Scientific 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 Ahsan, Muhammad Mashuri, Hidayatul Khusna   +2 more
doaj   +5 more sources

PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection system [PDF]

IET 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, Gulanbaier Tuerhong, Mairidan Wushouer, Tuergen Yibulayin   +3 more
doaj   +4 more sources

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

Production and Manufacturing Research: An Open Access Journal, 2018
Two types of control charts exist based on different quality characteristics: variable and attribute. These characteristics are commonly monitored using separate procedures.
Muhammad Ahsan, Muhammad Mashuri, Heri Kuswanto, Dedy Dwi Prastyo, Hidayatul Khusna   +4 more
doaj   +4 more sources

Performance of T 2-based PCA mix control chart with KDE control limit for monitoring variable and attribute characteristics [PDF]

Scientific 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 Ahsan, Muhammad Mashuri, Dedy Dwi Prastyo, Muhammad Hisyam Lee   +3 more
doaj   +5 more sources

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

Heliyon, 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, Muhammad Mashuri, Hidayatul Khusna, Wibawati   +3 more
doaj   +5 more sources

Increasing and more consistent use of pre-biopsy MRI in prostate cancer diagnosis: insights from a population-based study in the Netherlands [PDF]

Insights into Imaging
Objective Guidelines recommend MRI before prostate biopsy in men with suspected prostate cancer (PCa). However, real-world data on clinical use are scarce.
C. C. Loeff, I. G. Schoots, P. J. van Leeuwen, D. E. Oprea-Lager, S. Al-Uwini, L. A. L. M. Kiemeney, I. M. van Oort, K. K. H. Aben, B. L. Heesterman, on behalf of the ADMINISTRATE Study Group   +9 more
doaj   +2 more sources

Effects of Fertigation Programs and Substrates on Growth, Fruit Quality, and Yield of Bell Pepper (Capsicum annuum) in Greenhouse Conditions [PDF]

Foods
Global vegetable production exceeded 1.2 billion tons in 2022, with bell pepper (Capsicum annuum) accounting for 37 million tons, a crop of high value due to its versatility, commercial demand, and nutritional properties.
Ángel R. Pimentel-Pujols, José M. García, Fernando Borrás, Juana Fernández-López   +3 more
doaj   +2 more sources

Predictive Modeling of Tourist Satisfaction Based on Service Marketing Mix Elements Using Machine Learning Techniques [PDF]

The Scientific World Journal
This study examines the impact of the service marketing mix on tourist satisfaction and loyalty, focusing on Cox's Bazar, Bangladesh. Utilizing data collected from 500 respondents and analyzed through advanced statistical and machine learning techniques,
Md. Nazmul Hoque, Sumiya Nur Jannat, Yasin Arafat, Md. Mamun Miah   +3 more
doaj   +2 more sources

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

Journal 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, M Ahsan, H Kuswanto, D D Prastyo, H Khusna, null Wibawati   +5 more
openaire   +1 more source

PCA driven mixed filter pruning for efficient convNets

PLOS 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, Shahab Ansari, Muhammad Hanif, Akhtar Khalil   +3 more
openaire   +5 more sources