Zobrazeno 1 - 10
of 324
pro vyhledávání: '"Del Castillo, Enrique"'
Autor:
Zhao, Xueqi, del Castillo, Enrique
Spectral Laplacian methods, widely used in computer graphics and manifold learning, have been recently proposed for the Statistical Process Control (SPC) of a sequence of manufactured parts, whose 3-dimensional metrology is acquired with non-contact
Externí odkaz:
http://arxiv.org/abs/2112.14870
Autor:
Zhao, Xueqi, del Castillo, Enrique
Recent work in on-line Statistical Process Control (SPC) of manufactured 3-dimensional (3-D) objects has been proposed based on the estimation of the spectrum of the Laplace-Beltrami (LB) operator, a differential operator that encodes the geometrical
Externí odkaz:
http://arxiv.org/abs/2101.02379
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
del Castillo, Enrique, Goeb, Rainer
A bivariate extension to Box and Jenkins (1963) feedback adjustment problem is presented in this paper. The model balances the fixed cost of making an adjustment, which is assumed independent of the magnitude of the adjustments, with the cost of runn
Externí odkaz:
http://arxiv.org/abs/1912.08337
Autor:
Li, Hang, Del Castillo, Enrique
The theory of optimal design of experiments has been traditionally developed on an Euclidean space. In this paper, new theoretical results and an algorithm for finding the optimal design of an experiment located on a Riemannian manifold are provided.
Externí odkaz:
http://arxiv.org/abs/1911.02192
Autor:
Zhao, Xueqi, del Castillo, Enrique
We present a new method for statistical process control (SPC) of a discrete part manufacturing system based on intrinsic geometrical properties of the parts, estimated from three-dimensional sensor data. An intrinsic method has the computational adva
Externí odkaz:
http://arxiv.org/abs/1907.00111
We study the U.S. Operations Research/Industrial-Systems Engineering (ORIE) faculty hiring network, consisting of 1,179 faculty origin and destination data together with attribute data from 83 ORIE departments. A social network analysis of faculty hi
Externí odkaz:
http://arxiv.org/abs/1803.00125
Autor:
Ruth Archer, C., Bunning, Harriet, Rapkin, James, Jensen, Kim, Moore, Patricia J., House, Clarissa M., del Castillo, Enrique, Hunt, John
Publikováno v:
In Journal of Insect Physiology November-December 2022 143
Autor:
Zhao, Xueqi, del Castillo, Enrique
Publikováno v:
INFORMS Journal on Data Science; Oct-Dec2024, Vol. 3 Issue 2, p105-123, 19p