Results 71 to 80 of about 14,024,872 (145)

Dynamic characteristic analysis and load design of large floating structures based on experimental design

AIP Advances
The regularity of the influence of wave parameters on the hydrodynamic response of ocean engineering structures under irregular waves is not easy to obtain.
Guofeng Zhao, Shifan Zhu
doaj   +1 more source

Consistent least squares fitting of ellipsoids

, 2004
A parameter estimation problem for ellipsoid fitting in the presence of measurement errors is considered. The ordinary least squares estimator is inconsistent, and due to the nonlinearity of the model, the orthogonal regression estimator is inconsistent ...
Van Huffel, S., Kukush, A., Markovsky, I.   +2 more
core   +1 more source

Parametric fine model reconstruction of ancient architectural layout components based on random sampling consistency algorithm and least squares method—simulation data verification

Discover Applied Sciences
The development of accurate historical building information models provides an indispensable data infrastructure for the comprehensive protection strategy of ancient buildings.
Changlei Jiang
doaj   +1 more source

Moving least squares reconstruction for B-spline Material Point Method

, 2019
The paper shows a moving least squares reconstruction technique applied to the B-spline Material Point Method (B-spline MPM). B-spline MPM have shown to reduce the grid-crossing errors inherent in the original Material Point Method. However, in the large
Vuik, Cornelis, Möller, Matthias, Tran, Quoc, Wobbes, Elizaveta, Sołowski, Wojciech Tomasz   +4 more
core   +2 more sources

Asymptotics of Least Trimmed Squares Regression [PDF]

High breakdown-point regression estimators protect against large errors both in explanatory and dependent variables.The least trimmed squares (LTS) estimator is one of frequently used, easily understandable, and thoroughly studied (from the robustness ...
Cizek, P.
core  

A robust partial least squares method with applications [PDF]

Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points.
Javier Gonzalez, Daniel Pena, Rosario Romera   +2 more
core  

Consistency of the structured total least squares estimator in a multivariate errors-in-variables model

, 2005
The structured total least squares estimator, defined via a constrained optimization problem, is a generalization of the total least squares estimator when the data matrix and the applied correction satisfy given structural constraints.
Van Huffel, S., Kukush, A., Markovsky, I.   +2 more
core   +1 more source

Application of Terahertz Technology in Food Safety: Rice Origin-Variety Classification Based on Spectral Analysis and Machine Learning. [PDF]

Foods
Ye D, Yuan X, Xu J, Wang C, Liu L, Liu H, Li J, Ren D, Li C.   +8 more
europepmc   +1 more source

Pose error real-time prediction and compensation of a 5-DOF hybrid robot based on laser tracker and externally mounted encoders. [PDF]

Sci Rep
Guo H, Li G, Liu S.
europepmc   +1 more source

Real-Time SpO₂ Estimation from Chest Reflectance Photoplethysmography: Algorithm Development and Clinical Validation Against Arterial SaO₂. [PDF]

Sensors (Basel)
Lee W, Shin J, Song M, Song MK, Kim KM, Noh GJ, Cho S.   +6 more
europepmc   +1 more source