Results 21 to 30 of about 159,943 (267)
Smooth forecasting with the smooth package in R
There are many forecasting related packages in R with varied popularity, the most famous of all being \texttt{forecast}, which implements several important forecasting approaches, such as ARIMA, ETS, TBATS and others. However, the main issue with the existing functionality is the lack of flexibility for research purposes, when it comes to modifying the
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Este trabalho busca estabelecer procedimentos ótimos para o mapeamento digital da declividade em microbacias com Sistemas de Informação Geográfica (SIG). Através dos testes, avaliaram-se os métodos de geoprocessamento, de acordo com análises de regressão
Márcio de M. Valeriano
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Unsatisfactory quality of the surface layer of additive products, in particular increased surface roughness, prevents the widespread use of electron beam powder bed fusion (EBPBF).
Samat K. Mukanov +3 more
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Normal smoothings for smooth cube manifolds [PDF]
We prove that smooth cube manifolds have normal smooth structures.
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Bayesian Cramér-Rao Lower Bounds for Prediction and Smoothing of Nonlinear TASD Systems
The performance evaluation of state estimators for nonlinear regular systems, in which the current measurement only depends on the current state directly, has been widely studied using the Bayesian Cramér-Rao lower bound (BCRLB).
Xianqing Li +3 more
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Smooth minimization of non-smooth functions [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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OS-PCA: Orthogonal Smoothed Principal Component Analysis Applied to Metabolome Data
Principal component analysis (PCA) has been widely used in metabolomics. However, it is not always possible to detect phenotype-associated principal component (PC) scores.
Hiroyuki Yamamoto +2 more
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Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
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Resistant selection of the smoothing parameter for smoothing splines
Robust automatic selection techniques for the smoothing parameter of a smoothing spline are introduced. They are based on a robust predictive error criterion and can be viewed as robust versions of Cp and cross-validation. They lead to smoothing splines which are stable and reliable in terms of mean squared error over a large spectrum of model ...
Cantoni, Eva, Ronchetti, Elvezio
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Optical Flow Estimation Based on Curvelet Transform and Spatio-temporal Derivatives [PDF]
Optical flow estimation is still one of the key problems in computer vision.When estimating the displacement field between two images, it is applied as soonas correspondences between pixels are needed.
Atheer A. Sabri
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