Results 31 to 40 of about 1,946,431 (327)
Effects of Smoothing Functions in Cosmological Counts-in-Cells Analysis [PDF]
, 2006 A method of counts-in-cells analysis of galaxy distribution is investigated with arbitrary smoothing functions in obtaining the galaxy counts. We explore the possiblity of optimizing the smoothing function, considering a series of $m$-weight Epanechnikov
Matsubara, Takahiko, Murata, Yoshitaka
core +3 more sources
Five-Axis Tool Path Smoothing based on Cubic B-Spline Curves [PDF]
한국정밀공학회지, 2020 In CNC machining, NC data created by CAM software is usually linearly interpolated. This linearly interpolated tool path, however, may degrade the dynamic motion performance of the machine tool and the geometric accuracy in comparison with the reference ...
Keewoong Ahn, Sungchul Jee
doaj +1 more source
Smooth transition exponential smoothing [PDF]
Journal of Forecasting, 2004 AbstractAdaptive exponential smoothing methods allow a smoothing parameter to change over time, in order to adapt to changes in the characteristics of the time series. However, these methods have tended to produce unstable forecasts and have performed poorly in empirical studies.
openaire +2 more sources
Review of applications and surface smoothing mechanisms of optical waveguide devices
Journal of Hebei University of Science and Technology, 2017 Optical waveguide devices are widely used in many fields and have good development prospects. But surface roughness of waveguide device induces a passive effect on the light transmission loss and the Q value of ring cavity, which restricts the ...
Haiquan TANG +6 more
doaj +1 more source
Smoothing and Clustering Guided Image Decolorization
Image Analysis and Stereology, 2021 In this paper, we propose a new image decolorization method based on image clustering and weight optimization. First, we smooth the color image and cluster it into several classes and get the class centers.
Fang Li, Yuanming Zhu
doaj +1 more source
Smoothing Parameter and Model Selection for General Smooth Models [PDF]
, 2015 This article discusses a general framework for smoothing parameter estimation for models with regular likelihoods constructed in terms of unknown smooth functions of covariates. Gaussian random effects and parametric terms may also be present.
S. Wood, N. Pya, Benjamin Säfken
semanticscholar +1 more source
Contexte théorique de la notion de discontinuité géographique
Cybergeo, 2002 Likeness and proximity are studied in the particular context of geographical discontinuity, in both clustered (bounded) and continuous spaces. First, likeness and proximity are linked: likeness could be spatial and/or social; moreover, social structures ...
J.C. François
doaj +1 more source
Comparison of Parametric and Nonparametric Forecasting Methods for Daily COVID-19 Cases in Malaysia
JOIV: International Journal on Informatics Visualization, 2023 Numerous research studies are currently examining various measures to control the transmission of COVID-19. One essential task in this regard is predicting or forecasting the number of infected individuals.
I Made Artha Agastya, Afrig Aminuddin
doaj +1 more source
A new martingale approach to Kalman Filtering [PDF]
, 1976 A new derivation of continuous-time Kalman Filter equations is presented. The underlying idea has been previously used to derive the smoothing equations.
Bagchi, Arunabha
core +3 more sources
Experimental Mathematics, 2013 We give a new algorithm that quickly finds smooth neighbors.
J. Brian Conrey +2 more
openaire +2 more sources