Results 51 to 60 of about 2,126,918 (327)

Principal Component Analysis Of Synthetic Galaxy Spectra [PDF]

open access: yes, 1998
We analyse synthetic galaxy spectra from the evolutionary models of Bruzual&Charlot and Fioc&Rocca-Volmerange using the method of Principal Component Analysis (PCA).
Alfonso Aragón-Salamanca   +29 more
core   +3 more sources

The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada

open access: yesPopulation Ecology, EarlyView.
We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley   +1 more source

Geographic variation in walking activity in the red flour beetle Tribolium castaneum

open access: yesPopulation Ecology, EarlyView.
This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley   +1 more source

Geometrical Approximated Principal Component Analysis for Hyperspectral Image Analysis

open access: yesRemote Sensing, 2020
Principal Component Analysis (PCA) is a method based on statistics and linear algebra techniques, used in hyperspectral satellite imagery for data dimensionality reduction required in order to speed up and increase the performance of subsequent ...
Alina L. Machidon   +4 more
doaj   +1 more source

Principal Component Analysis of Munich Functional Developmental Diagnosis

open access: yesPediatric Reports, 2021
Objectives: Munich Functional Developmental Diagnosis (MFDD) is a scale for assessing the psychomotor development of children in the first months or years of life.
Grażyna Pazera   +3 more
doaj   +1 more source

A principal component analysis for trees

open access: yesThe Annals of Applied Statistics, 2009
The active field of Functional Data Analysis (about understanding the variation in a set of curves) has been recently extended to Object Oriented Data Analysis, which considers populations of more general objects. A particularly challenging extension of this set of ideas is to populations of tree-structured objects.
Aydın, Burcu   +4 more
openaire   +4 more sources

occumb: An R package for site occupancy modeling of eDNA metabarcoding data

open access: yesPopulation Ecology, EarlyView.
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley   +1 more source

Manifold Regularized Principal Component Analysis Method Using L2,p-Norm

open access: yesMathematics, 2022
The main idea of principal component analysis (PCA) is to transform the problem of high-dimensional space into low-dimensional space, and obtain the output sample set after a series of operations on the samples.
Minghua Wan   +3 more
doaj   +1 more source

Recursive principal components analysis [PDF]

open access: yesNeural Networks, 2005
A recurrent linear network can be trained with Oja's constrained Hebbian learning rule. As a result, the network learns to represent the temporal context associated to its input sequence. The operation performed by the network is a generalization of Principal Components Analysis (PCA) to time-series, called Recursive PCA. The representations learned by
openaire   +4 more sources

The dual nature of TDC – bridging dendritic and T cells in immunity

open access: yesFEBS Letters, EarlyView.
TDC are hematopoietic cells combining dendritic and T cell features. They reach secondary lymphoid organs (SLOs) and peripheral organs (liver and lungs) after FLT3‐dependent development in the bone marrow and maturation in the thymus. TDC are activated and enriched in SLOs upon viral infection, suggesting that they might play unique immune roles, since
Maria Nelli, Mirela Kuka
wiley   +1 more source

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