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3-(2)
电池热失控热安全仿真研究实验报告SCI henhaode a (Battery thermal runaway thermal safety simulation research lab reports SCI)
- 2017-04-03 19:51:52下载
- 积分：1
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Cooperative-Path-Planning-BBO
基于生物地理学优化的多UCAV协同航迹规划(Cooperative Path Planning for Multi-UCAV Based on Biogeography Based Optimization)
- 2017-05-05 22:14:04下载
- 积分：1
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lujingguihua
CAJ格式的，遗传算法的路径规划问题，需要的可以看一下(CAJ format, genetic algorithm path planning problem, the need to look at the can)
- 2008-08-07 15:18:37下载
- 积分：1
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lid driven flow
Lbm用于模拟顶盖驱动流 强制对流 碰撞迁移过程(LBM for lid driven flow)
- 2021-03-31 22:39:08下载
- 积分：1
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romp
说明： 图像处理，压缩感知中ROMP的代码实现。(Image processing, compression-aware in the ROMP of code to achieve.)
- 2010-03-21 17:19:20下载
- 积分：1
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Aurora
使用开源软件Aurora做的交通仿真研究(Using Aurora Road Network Modeler for Active Traffic Management)
- 2011-02-16 15:36:03下载
- 积分：1
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Data-Storage-Security-in-Cloud-Computing
Data security in cloud computing
- 2012-02-03 15:06:44下载
- 积分：1
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Advances.of.Research.in.Independent.Component
：介绍了独立成分分析(ICA)的基本模型及其假设、含混性、非高斯性度量和通用求解过程。讨论了目前ICA 的几个研究方向的发展现状和面临的问题，分析了ICA 基本模型和几种扩展模型的求解算法，包括盲反卷积、卷积混和的盲分离、非线性瞬时混合的盲分离。提出了ICA 未来理论和应用研究中的开放课题。(: Introduce the independent component analysis (ICA) the basic model and its assumptions, vague, non-Gaussian measurement and GM solving process. Discussion of the current ICA several research directions of the development of the current situation and the problems faced by an analysis of the basic ICA model and several extended model algorithm, including the blind deconvolution, convolution mixture of blind source separation, nonlinear transient mixed Blind Source Separation. Proposed ICA future theoretical and applied research topics in the open.)
- 2008-04-17 10:19:25下载
- 积分：1
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raley-slection
中继选择方案的研究。一种新的中继选择方式——机会中继。(Research of Relay options schemes
A new way of relay selection- opportunities to relay
)
- 2011-05-06 20:20:09下载
- 积分：1
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High
This paper presents a clustering approach
which estimates the specific subspace and the intrinsic dimension of each class. Our approach
adapts the Gaussian mixture model framework to high-dimensional data and estimates
the parameters which best fit the data. We obtain a robust clustering method called High-
Dimensional Data Clustering (HDDC). We apply HDDC to locate objects in natural images
in a probabilistic framework. Experiments on a recently proposed database demonstrate the
effectiveness of our clustering method for category localization.
- 2009-06-22 12:49:53下载
- 积分：1
