Experimental investigation of 50 MPa reinforced concrete slabs subjected to blast loading
Ingeniería e Investigación, 2018 This paper presents results from blast tests conducted on four 50 MPa concrete slabs with reinforcement ratios of 0,175% and 0,37%. Two of the slabs were retrofitted with 50 mm thick foam in order to investigate the potential of using the foam as a ...
Fausto Mendonça +2 more
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Classification of α wave motor imagery based on SVM and PCA
Dianzi Jishu Yingyong, 2022 A feature screening method based on alpha wave and principal component analysis was proposed to solve the problem that the weakly correlated feature quantity would affect the classification accuracy in EEG motor imagery classification.
Cai Jing +3 more
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Application of Minimal Data Sets for Quantitative Assessment and Investigation of Spatial Autocorrelation of Soil Quality in Southwestern Lands of Urmia Plain [PDF]
علوم آب و خاک, 2023 Soil quality is one of the most crucial factors determining crop productivity and production stability. The soil's physical, chemical, biological, and ecological characteristics affect its quality. Numerous researchers have concentrated the evaluation on
A. Barikloo +3 more
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Mass transfer rate and osmotic treatment efficiency of peaches
Acta Universitatis Sapientiae: Alimentaria, 2022 The highest-quality peaches [Prunus persica (L.) Batsch] are cultivated in areas with sunny summers, therefore the territory of the Autonomous Province of Vojvodina is a favourable region for their production.
Lončar B. +6 more
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, 2023 Phylogenetic PCA (p-PCA) is a version of PCA for observations that are leaf nodes of a phylogenetic tree. P-PCA accounts for the fact that such observations are not independent, due to shared evolutionary history. The method works on Euclidean data, but in evolutionary biology there is a need for applying it to data on manifolds, particularly shapes ...
Morten Akhøj +2 more
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RKF-PCA: Robust kernel fuzzy PCA
Neural Networks, 2009 Principal component analysis (PCA) is a mathematical method that reduces the dimensionality of the data while retaining most of the variation in the data. Although PCA has been applied in many areas successfully, it suffers from sensitivity to noise and is limited to linear principal components.
Computer and Information Science and Engineering, University of Florida, United States ( host institution ) +3 more
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Spatial and Temporal Assessment of Water Quality Changes in North, Northwest and Southwest Rivers of Iran, Involving Multivariate Statistical Techniques and GIS [PDF]
Water Harvesting Research, 2022 Surface water, especially rivers, is one of the most important water resources that play an important role in supplying water for various activities.
Parva Mohammadi +3 more
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Potential Partnerships: Progressive Criminology, Grassroots Organizations and Social Justice
International Journal for Crime, Justice and Social Democracy, 2015 Criminologists around the globe are writing about the disproportionate criminalization of minority groups and – in the US in particular – about racial disproportionality in all aspects of the criminal justice system.
Tim Goddard +2 more
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A chemometric approach to the headspace sampled volatiles of selected Salvia species from Southeastern Serbia [PDF]
Botanica Serbica, 2022 Headspace sampling is a fast, simple and economical way to prepare plant samples for analysis by gas chromatography. For the first time, the composition of the head space volatiles (HSV) of six Salvia species (S. verticillata, S. glutinosa, S.
Emilija Kostić +5 more
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