Results 31 to 40 of about 584,742 (263)
Relative warp analysis of wing shape variations in three selected populations of Aedes aegypti Linnaeus [PDF]
Computational Ecology and Software, 2018 Population variations in the dengue vector mosquito, Aedes aegypti (Linneaus) was examined using landmark based Geometric Morphometric methods of the left and right wings for both sexes from among three locations in the city of Cagayan de Oro ...
Danilo A. Gualberto, Cesar G. Demayo
doaj
Discriminant analysis involving count data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2023 A situation giving rise to a violation of the normality assumption in discriminant analysis is that which involves count observations. For a two-variable case involving count observations, this paper presents a new discriminant analysis approach when ...
George Chinanu Mbaeyi +1 more
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Prediction of water inrush source of coal seam floor based on Fisher discriminant model
Gong-kuang zidonghua, 2022 In order to solve the problems of low accuracy mine water inrush source discriminant method for mine floor water inrush source discrimination, taking the second level coal seam of suburban coal mine as an example, the Fisher mine floor water inrush ...
DUAN Lihong, DAI Lei, ZHANG Jinling
doaj +1 more source
From Bug to Feature: Harnessing Cross‐Sensitivity for Multiparametric Luminescence Sensing
Advanced Functional Materials, EarlyView.Cross‐sensitivity in luminescence sensing is reframed from a limitation into a resource for multiparametric detection. Using ruby microspheres as a model system, cross‐sensitivity is quantitatively assessed and exploited through linear discriminant analysis, enabling simultaneous, correction‐free pressure and temperature sensing with a single ...
Nikita Panov +5 more
wiley +1 more source
Hierarchical Discriminant Analysis
Sensors, 2018 The Internet of Things (IoT) generates lots of high-dimensional sensor intelligent data. The processing of high-dimensional data (e.g., data visualization and data classification) is very difficult, so it requires excellent subspace learning algorithms ...
Di Lu +3 more
doaj +1 more source
Discriminant Analysis under f-Divergence Measures
Entropy, 2022 In statistical inference, the information-theoretic performance limits can often be expressed in terms of a statistical divergence between the underlying statistical models (e.g., in binary hypothesis testing, the error probability is related to the ...
Anmol Dwivedi, Sihui Wang, Ali Tajer
doaj +1 more source
Advanced Healthcare Materials, EarlyView.This study demonstrates that ALY688, a drug mimicking the heart‐protective hormone adiponectin, reduces myocardial ischemia injury. ALY688 increases the production of extracellular vesicles, which carry protective cargo including adiponectin itself.
Jialing Tang +13 more
wiley +1 more source
Modeling the boundaries of the working space of a planar three-link manipulator
Омский научный вестникA study of the boundaries of the working space of a three-link planar manipulator, specified by analytical equations, is carried out. A new geometric interpretation of these samples is proposed.
T. A. Sheveleva, A. A. Lyashkov
doaj +1 more source
Reversible Discriminant Analysis
IEEE Access, 2018 Principal component analysis (PCA) and linear discriminant analysis (LDA) have been extended to be a group of classical methods in dimensionality reduction for unsupervised and supervised learning, respectively.
Lan Bai +3 more
doaj +1 more source
Latent Fisher Discriminant Analysis [PDF]
, 2013 Linear Discriminant Analysis (LDA) is a well-known method for dimensionality reduction and classification. Previous studies have also extended the binary-class case into multi-classes.
Chen, Gang
core