Results 241 to 250 of about 62,563 (288)

Sustainable mixture design of rice husk ash cement based concrete: performance optimization through data driven modeling and multi objective analysis. [PDF]

Sci Rep
Çaglar H.
europepmc   +1 more source

Tenebrio molitor-Derived Enzyme Systems Enable Solvent-Reduced Recovery of Intracellular Polyhydroxyalkanoates. [PDF]

Microb Biotechnol
Bogojevic SS, Pantelic B, Ponjavic M, Ilic-Tomic T, Milivojevic D, Guzik M, Rychwalski M, Siaperas R, Topakas E, Carvalheira M, Freitas F, Concórdio-Reis P, Nikodinovic-Runic J.   +12 more
europepmc   +1 more source

Principal Component Analysis as a Statistical Tool for Concrete Mix Design

Materials, 2021
With the recent and rapid development of concrete technologies and the ever-increasing use of concrete, adapting concrete to the specific needs and applications of civil engineering is necessary.
Janusz Kobaka
exaly   +2 more sources

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A Method for Recognition of Mixed Gas Composition Based on PCA and KNN

2021 19th International Conference on Optical Communications and Networks (ICOCN), 2021
In the mining process of coal, oil, and natural gas, there are often a large number of toxic, hazardous and explosive gases, which pose a greater safety hazard. These gases usually exist in the form of mixtures. Accurately identifying the composition of the mixed gas is of great significance to the prevention of safety accidents.
Wanyu Xia, Tingting Song, Zhanwei Yan, Kai Song, Deyun Chen, Yinsheng Chen   +5 more
openaire   +1 more source

Contribution of PCA/K-means methods to the mixed assessment of patient safety culture

International Journal of Health Governance, 2021
PurposeThe assessment of patient safety culture (PSC) is a major priority for healthcare providers. It is often realized using quantitative approaches (questionnaires) separately from qualitative ones (patient safety culture maturity model (PSCMM)). These approaches suffer from certain major limits.
Youcef Oussama Fourar, Mebarek Djebabra, Wissal Benhassine, Leila Boubaker   +3 more
openaire   +1 more source

PCA based pressure control of a gas mixing chamber

2009 IEEE Conference on Emerging Technologies & Factory Automation, 2009
PCA is a popular technique used in model reduction and fault diagnosis and isolation. In this work PCA is used to reduce the dimensionality of a MISO system. The coupling among the variables and the process output is taken into account through the projection into the PCA axis. The technique is applied to a gas mixing chamber in a Copper smelter factory,
Juan M. Escaño, Fernando Dorado, Carlos Bordons   +2 more
openaire   +1 more source

MPCA: EM-based PCA for mixed-size image datasets

2014 IEEE International Conference on Image Processing (ICIP), 2014
Principal component analysis (PCA) is a widely used technique for dimensionality reduction which assumes that the input data can be represented as a collection of fixed-length vectors. Many real-world datasets, such as those constructed from Internet photo collections, do not satisfy this assumption.
Feiyu Shi, Menghua Zhai, Drew Duncan, Nathan Jacobs   +3 more
openaire   +1 more source

Image Fusion for Mars Data Using Mix of Robust PCA

International Journal of Pattern Recognition and Artificial Intelligence, 2017
Multi-sensor image fusion is the process of combining relevant information from high spatial resolution image and high spectral resolution image. This paper proposes a pansharpening method for the fusion of Mars images obtained by the Mars Reconnaissance Orbiter satellite (PAN) and Mars Odyssey satellite (THEMIS MS). The method is based on some mix of
Jiang-Long Wu, Xiao-Lin Tian 0001
openaire   +1 more source