|
|
|
|
|
Kuan Liu, Haiyuan Liu, Dongyan Sun and Lei Zhang
The reconstruction of gene regulatory networks based on gene expression data can effectively uncover regulatory relationships between genes and provide a deeper understanding of biological control processes. Non-linear dependence is a common problem in t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Grigorios Kakkavas, Vasileios Karyotis and Symeon Papavassiliou
This paper focuses on the design, implementation, experimental validation, and evaluation of a network tomography approach for performing inferential monitoring based on indirect measurements. In particular, we address the problems of inferring the routi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rasoul Shafipour and Gonzalo Mateos
We develop online graph learning algorithms from streaming network data. Our goal is to track the (possibly) time-varying network topology, and affect memory and computational savings by processing the data on-the-fly as they are acquired. The setup enta...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaokai Sun, Baoyun Guo, Cailin Li, Na Sun, Yue Wang and Yukai Yao
In urban point cloud scenarios, due to the diversity of different feature types, it becomes a primary challenge to effectively obtain point clouds of building categories from urban point clouds. Therefore, this paper proposes the Enhanced Local Feature A...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bochuan Hou, Yang Xin, Hongliang Zhu, Yixian Yang and Jianhua Yang
Vehicle ad-hoc network (VANET) is interconnected through message forwarding and exchanging among vehicle nodes. Due to its highly dynamic topology and its wireless and heterogeneous communication mode, VANET is more vulnerable to security threats from mu...
ver más
|
|
|
|
|
|