Results 241 to 250 of about 6,626,969 (302)
High-power pulsed-laser ablation of aluminum alloy: Simulation model and experimental validation. [PDF]
Chen Q +5 more
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Stress Field Prediction and DIC-Informed Spatial Regularization for AlSi10Mg Alloy Tensile Specimens Based on Graph Neural Networks. [PDF]
Dong Z, Xie X, Yang G, Li Z, Li X, Ma H.
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Shape Tailoring of Nonconventional Ni-Pt Nanoparticles through a PDDA-Polyol Method. [PDF]
Maqueda B +5 more
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Estimation of threshold parameter and shape parameter for three-parameter Weibull distribution
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Chebyshev splines and shape parameters
Numerical Algorithms, 1997The splines considered depend on two parameters \(p\), \(\alpha\), and are defined on \([0, 1]\) as those polynomials that satisfy \[ F'''(0)/p- 2\alpha F''(0)/p^2+ 2\alpha^2F'(0)/p^3= F'''(1)/(p+\alpha)- 2\alpha F''(1)/(p+ \alpha)^2+ 2\alpha^2 F'(1)/(p+ \alpha)^3; \] one applies to this space the formulas that give derivatives of vector functions in ...
Pierre-Jean Laurent +2 more
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Shape parameter optimization for Adaboosted active shape model
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005Active shape model (ASM) has been shown to be a powerful tool to aid the interpretation of images, especially in face alignment. ASM local appearance model parameter estimation is based on the assumption that residuals between model fit and data have a Gaussian distribution.
Yuanzhong Li, Wataru Ito
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