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Spill Model下载
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2019-05-16 11:30:13
关于液体管道泄漏后的后果分析计算,可以用于长输油气管道、危险液体管道的后果计算。
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Spill Model下载
关于液体管道泄漏后的后果分析计算,可以用于长输油气管道、危险液体管道的后果计算。 相关下载链接://download.csdn.net/download/cocoon_cas/2239064?utm_source=bbsseo
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Spi
ll
Model
关于液体管道泄漏后的后果分析计算,可以用于长输油气管道、危险液体管道的后果计算。
The extended-Bragg scattering
model
-based method for ship and oil-
spi
ll
observation using compact polarimetric SAR
The extended-Bragg scattering
model
-based method for ship and oil-
spi
ll
observation using compact polarimetric SAR
logistics agglomeration
This paper tends to build an econometric
model
in the perspective of the endogenous growth and new economy geography, and This paper tends to build an econometric
model
in the perspective of the endogenous growth and new economy geography, and examines how the
spi
ll
-over effect and scale economies of logistics agglomeration affected the development of Chinese logistics examines how the
spi
ll
-over effect and scale economies of logistics agglomeration affected the development of Chinese logistics industry based on the panel data of 31 provinces between 2003 and 2012. The results show that the
spi
ll
-over effect of logistics industry based on the panel data of 31 provinces between 2003 and 2012. The results show that the
spi
ll
-over effect of logistics agglomeration has made a significant contribution to the logistics development among a
ll
the provinces while the impact of scale agglomeration has made a significant contribution to the logistics development among a
ll
the provinces while the impact of scale economies upon logistics sectors is restricted within the central and western regions. economies upon logistics sectors is restricted within the central and western regions.
Elongated Strip Oil
Spi
ll
Segmentation Based on A Cooperative
Model
<!--StartFragment --> 目前用于SAR图像溢油分割的主要是传统的图像分割方法,比如阈值分割。但由于SAR图像包含大量噪声,分割效果不佳,特别是海洋溢油区域包含大量的细长条油膜带,传统分割方法分割往往不能有效分割。本课题将Cooperative
Model
用于SAR图像细长条油膜带检测中,Cooperative
Model
是基于能量函数最小化的图像分割方法,能量函数的数据项采用有限伽马混合模型建模,并用EM(期望最大化)算法估计它的参数;能量函数的平滑项用高阶协作模型构建,它不仅惩罚边界长度,也考虑了物体边界的差异性,因此它能够有效的分割SAR图像中的细长条油膜区域。实验结果证明, 跟以往传统的用于SAR图像溢油分割的方法相比,本课题所采用的方法能有效抵抗噪声干扰,也能有效分割SAR图像中的细长条油膜区域。
org.apache.mahout 最新版
k-Nearest Neighbors algorithm (k-NN) implemented on Apache Spark. This uses a hybrid
spi
ll
tree approach to achieve high accuracy and search efficiency. The simplicity of k-NN and lack of tuning parameters makes k-NN a useful baseline
model
for many machine learning problems.
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