Results 11 to 20 of about 2,440,721 (342)
Multivariate analysis in vector time series [PDF]
This paper reviews the applications of classical multivariate techniques for discrimination, clustering and dimension reduction for time series data. It is shown that the discrimination problem can be seen as a model selection problem.
Galeano, Pedro, Peña, Daniel
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Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach [PDF]
Recent scholarly attention has surged in integrating artificial intelligence (AI) across various scientific domains, prompting a closer examination of AI’s pervasive influence on economic paradigms like the sharing economy (SE).
Veljko Uskoković +3 more
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Insight into human pubertal growth by applying the QEPS growth model
Background Computerized mathematical models describing absolute and relative individual growth during puberty in both cm and standard deviation (SD)-scores are lacking.
Anton Holmgren +5 more
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This study was carried out in order to compare in 20 different rangeland sample areas that determined in order to environmental variables, vegetation and soil properties by multivariate ordination analysis in Mugla province.
Mehmet Öten +8 more
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In this study we develop a variant of fluorescent sensor array technique based on addition of fluorophores to samples. A correct choice of fluorophores is critical for the successful application of the technique, which calls for the necessity of ...
Elizaveta A. Rukosueva +6 more
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Nonparametric frequency domain analysis of nonstationary multivariate time series [PDF]
We analyse the properties of nonparametric spectral estimates when applied to long memory and trending nonstationary multiple time series. We show that they estimate consistently a generalized or pseudo-spectral density matrix at frequencies both close ...
Velasco, Carlos
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Multivariate analysis of functional metagenomes
Metagenomics is a primary tool for the description of microbial and viral communities. The sheer magnitude of the data generated in each metagenome makes identifying key differences in the function and taxonomy between communities difficult to elucidate.
Elizabeth A. Dinsdale +16 more
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Multivariate analysis of hydrophobic descriptors
Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hydrophobic descriptors and to discriminate between intrinsic hydrophobicity and polar contributions as hydrogen bonds and other electronic effects.
Stefan Dove
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MULTIVARIATE ANALYSIS OF PEANUT MECHANIZED HARVESTING [PDF]
The peanuts harvesting mechanization is affected by the soil physical characteristics and it may increase the losses due to the production of pods in subsurface.
Rafael H. F. Noronha +4 more
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Analysis of Modulated Multivariate Oscillations
The concept of a common modulated oscillation spanning multiple time series is formalized, a method for the recovery of such a signal from potentially noisy observations is proposed, and the time-varying bias properties of the recovery method are derived.
Lilly, Jonathan M., Olhede, Sofia C.
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