Results 21 to 30 of about 24,899,885 (305)

Survey of Radar HRRP Target Recognition Based on Parametric Statistical Model

open access: yesLeida xuebao, 2022
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

Combining parametric, semi-parametric, and non-parametric survival models with stacked survival models [PDF]

open access: yesBiostatistics, 2015
Major revision since last arXiv ...
Wey, Andrew, Connett, John, Rudser, Kyle
openaire   +3 more sources

Scene Parsing With Integration of Parametric and Non-Parametric Models [PDF]

open access: yesIEEE Transactions on Image Processing, 2016
13 Pages, 6 figures, IEEE Transactions on Image Processing (T-IP ...
Bing Shuai   +3 more
openaire   +4 more sources

Applied Methodology for Designing and Calculating a Family of Spur Gear Pumps

open access: yesEnergies, 2022
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.
IonuĊ£ Gabriel Ghionea
doaj   +1 more source

Parametrized shape models for clothing [PDF]

open access: yes2011 IEEE International Conference on Robotics and Automation, 2011
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   +3 more sources

A Novel Deep Neural Network Topology for Parametric Modeling of Passive Microwave Components

open access: yesIEEE Access, 2020
Artificial neural network technique has gained recognition as a powerful technique in microwave modeling and design. This paper proposes a novel deep neural network topology for parametric modeling of microwave components.
Jing Jin   +5 more
semanticscholar   +1 more source

Research on parametric modeling of structures of scraper conveyor

open access: yesGong-kuang zidonghua, 2018
In view of problems of high repetition rate and low efficiency of structure design of scraper conveyor, parametric modeling of key components and complex assemblies of scraper conveyor were realized based on Pro/E 5.0 three-dimensional modeling software.
ZHANG Xing, YANG Shanguo, LI Wei
doaj   +1 more source

Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Hybrid-Based Transfer Functions

open access: yesIEEE Access, 2020
Neuro-transfer function (neuro-TF) approaches have become more and more popular in parametric modeling for electromagnetic (EM) behavior of microwave components.
Zhihao Zhao   +5 more
semanticscholar   +1 more source

The Cost of Change in Parametric Modeling: A Roadmap

open access: yesComputer-Aided Design and Applications, 2020
. In this paper, we lay the foundation for estimating the cost associated to parametric modeling changes and discuss its implications on the broader context of engineering change management. We provide an analysis of the different stages, decision points
J. Camba   +3 more
semanticscholar   +1 more source

Advanced Techniques of Stress Analysis [PDF]

open access: yesINCAS Bulletin, 2013
This article aims to check the stress analysis technique based on 3D models also making a comparison with the traditional technique which utilizes a model built directly into the stress analysis program.
Simion TATARU   +2 more
doaj   +1 more source

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