Multiobjective Optimization Method of Solid Rocket Motor Finocyl Grain Based on Surrogate Model
To improve the performance of a solid rocket motor (SRM), a multiobjective optimal design method that can consider the structural integrity, internal ballistic performance, and loading performance of the SRM was proposed based on parametric modeling and ...
Qiuwen Miao +3 more
doaj +1 more source
Combining parametric, semi-parametric, and non-parametric survival models with stacked survival models [PDF]
Major revision since last arXiv ...
Wey, Andrew, Connett, John, Rudser, Kyle
openaire +3 more sources
Survey of Radar HRRP Target Recognition Based on Parametric Statistical Model
In the gradually becoming information-based and intelligent modern warfare, Radar Automatic Target Recognition (RATR) technology plays an increasingly important role in military applications, such as national security defense and strategic early warning.
Jian CHEN, Lan DU, Leiyao LIAO
doaj +1 more source
Scene Parsing With Integration of Parametric and Non-Parametric Models [PDF]
13 Pages, 6 figures, IEEE Transactions on Image Processing (T-IP ...
Bing Shuai +3 more
openaire +6 more sources
Applied Methodology for Designing and Calculating a Family of Spur Gear Pumps
The paper presents in an applicative manner a parameter-based methodology about design, modeling and optimization of a spur gear pump, currently under production in a Romanian company.
Ionuţ Gabriel Ghionea
doaj +1 more source
Non parametric mixture modeling
Code and data for Archambeau, Couto & Van Maanen (in press) - Non-Parametric Mixture Modeling Of Cognitive Psychological Data : A New Method To disentangle Hidden ...
Leendert van Maanen +2 more
core +8 more sources
Parametrized shape models for clothing [PDF]
We consider the problem of recognizing the configuration of clothing articles when crudely spread out on a flat surface, prior to and during folding. At the core of our approach are parametrized shape models for clothing articles. Each clothing category has its own shape model, and the variety in shapes for a given category is achieved through ...
Miller, Stephen +3 more
openaire +4 more sources
Parametric Macromodels of Drivers for SSN Simulations [PDF]
This paper addresses the modeling of output and power supply ports of digital drivers for accurate and efficient SSN simulations. The proposed macromodels are defined by parametric relations, whose parameters are estimated from measured or simulated port
Chen, Z. +4 more
core +1 more source
Automated Neural Network-Based Multiphysics Parametric Modeling of Microwave Components
This paper proposes a novel technique for automated neural network based multiphysics parametric modeling of microwave components. For the first time, we propose to utilize automated model generation (AMG) algorithm in the field of electromagnetic (EM ...
Weicong Na +5 more
doaj +1 more source
Tracking-Based Non-Parametric Background-Foreground Classification in a Chromaticity-Gradient Space [PDF]
This work presents a novel background-foreground classification technique based on adaptive non-parametric kernel estimation in a color-gradient space of components.
Narciso Garcia +3 more
core +1 more source

