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Nature and technology often adopt structures that can be described as tubular helical assemblies.However,the role and me......
Based on the prediction experiments on the salinity distribution of the southern Huanghai Sea in spring (April-June) fr......
集约化养殖条件下鱼类营养代谢性疾病频发,如何防治是目前亟待解决的问题.寻找导致营养代谢性疾病的关键基因,并研究其功能及作用......
An extremely large(“freak”) wave is a typical though rare phenomenon observed in the sea. Special theories(for example......
The Uncertainty of Mesoscale Numerical Prediction of Heavy Rain in South China and the Ensemble Simu
为探究吕家坨井田地质构造格局,根据钻孔勘探资料,采用分形理论和趋势面分析方法,研究了井田7......
The Uncertainty of Mesoscale Numerical Prediction of Heavy Rain in South China and the Ensemble Simu
In the context of non-hydrostatic MM5 version we have explored the impact of convective parameterization schemes on unce......
Improvement in Background Error Covariances Using Ensemble Forecasts for Assimilation of High-Resolu
Satellite data obtained over synoptic data-sparse regions such as an ocean contribute toward improving the quality of th......
货运量精准预测是多式联运网络高效协同发展的重要基础,货运量时变性强、数据多样性缺失是实现精准货运量预测的问题所在。基于此,......
针对铣削过程中声发射信号非平稳的特点,提出了一种基于噪声辅助经验模态分解（EEMD）和本征模函数（IMF）能量分布的刀具破损识别方法。首......
二维各同性谐振子体系除哈密顿量外还有三个独立的守恒量。本文给出了对这些不同描术宾比较。......
随机森林是近些年发展起来的新集成学习算法,具有较好的分类准确率。针对该算法计算复杂度较高的不足,提出了一种基于谱聚类划分的......
直流输电线路两端的边界元件会造成行波波头畸变，且过渡电阻和线路色散等因素会进一步增加对渡头到达母线时刻进行准确标定的难度。......
提出一种基于总体经验模态分解（ensemble empirical mode decomposition， EEMD）模糊熵和变量预测模型的转子故障诊断新方法，并将其应用......
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针对含强噪声周期信号的检测，提出基于混沌振子结合集合经验模式分解降噪的检测新方法；针对相位差对检测结果的影响，提出正反导入的检......
该文提出一种YCbCr颜色空间的彩色JPEG图像隐写分析方法。该方法中的特征包括通道内特征和通道间特征,首先从Y通道提取Markov特征,......
基于语义的图像检索技术中,按照图像的语义进行自动标注是一个具有挑战性的工作.本文把图像的自动标注过程转化为图像分类的过程,......
