Results 11 to 20 of about 60,070 (303)
3D PARAMETRIC MODELLING DEDICATED TO GROUP TECHNOLOGY
Journal of Industrial Design and Engineering Graphics, 2015 The parametric geometric modelling, fundamental instrument of CAD, has laid the groundwork for important changes in this area. Thus, the parametric modelling has contributed to optimal design of the products and has led to increase of the design ...
DUMITRACHE Petru
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Vaccines, 2022 Mathematical modelling methods and adaptive trial design are likely to be effective for optimising vaccine dose but are not yet commonly used. This may be due to uncertainty with regard to the correct choice of parametric model for dose-efficacy or dose ...
John Benest +3 more
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SEMI-AUTOMATIC MODELLING OF BUILDING FAÇADES WITH SHAPE GRAMMARS USING HISTORIC BUILDING INFORMATION MODELLING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 This paper outlines a new approach for generating digital heritage models from laser scan or photogrammetric data using Historic Building Information Modelling (HBIM).
C. Dore, M. Murphy
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A Framework to Model Bursty Electronic Data Interchange Messages for Queueing Systems
Future Internet, 2022 Within a supply chain organisation, where millions of messages are processed, reliability and performance of message throughput are important. Problems can occur with the ingestion of messages; if they arrive more quickly than they can be processed, they
Sonya Leech +2 more
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Parametrized Measure Models [PDF]
Bernoulli, 2017 We develope a new and general notion of parametric measure models and statistical models on an arbitrary sample space $Ω$ which does not assume that all measures of the model have the same null sets. This is given by a diffferentiable map from the parameter manifold $M$ into the set of finite measures or probability measures on $Ω$, respectively, which
Ay, Nihat +3 more
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Analysis of parametric and non-parametric option pricing models
Heliyon, 2022 In this paper, a closed-form analytical solution of option price under the Bi-Heston model is derived. Through empirical analysis, the advantages and disadvantages of the parametric pricing model are compared and analysed with those of the non-parametric model.
Qiang Luo +3 more
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USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND ARTIFICIAL NEURAL NETWORK TO SIMULATE URBANIZATION IN MUMBAI, INDIA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Land use change (LUC) models used for modelling urban growth are different in structure and performance. Local models divide the data into separate subsets and fit distinct models on each of the subsets.
M. Ahmadlou +3 more
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Parametric and semi-parametric modelling of vacation expenditures [PDF]
Journal of Applied Econometrics, 1996 We analyse several limited dependent variable models explaining the budget share that Dutch families spend on vacations. To take account of the substantial number of zero shares, two types of models are used. The first is the single-equation censored regression model.
Melenberg, B., Soest, A.H.O. van
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The Effect of the Geometry of Diagrid High-Rise Buildings on their Performance against Lateral Forces of Earthquakes [PDF]
صفه, 2020 It has always been crucial for architects to obtain an intuitive understanding of the structural performance of architectural forms. During the modern period, there has always been a close collaboration between architects and engineers in designing high ...
S. Pooyan Kazemi.S. Kazemi.S. +2 more
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Combining parametric, semi-parametric, and non-parametric survival models with stacked survival models [PDF]
Biostatistics, 2015 Major revision since last arXiv ...
Wey, Andrew, Connett, John, Rudser, Kyle
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