|
|
|
|
|
Guoliang Feng, Wei Lu and Jianhua Yang
A novel design method for time series modeling and prediction with fuzzy cognitive maps (FCM) is proposed in this paper. The developed model exploits the least square method to learn the weight matrix of FCM derived from the given historical data of time...
ver más
|
|
|
|
|
|
|
|
|
Zhichao Sun, Kang Zhou, Xinzheng Yang, Xiao Peng and Rui Song
Transit network optimization can effectively improve transit efficiency, improve traffic conditions, and reduce the pollution of the environment. In order to better meet the travel demands of passengers, the factors influencing passengers? satisfaction w...
ver más
|
|
|
|
|
|
|
|
|
Tao Song, Jiarong Wang, Danya Xu, Wei Wei, Runsheng Han, Fan Meng, Ying Li and Pengfei Xie
Physical oceanography models rely heavily on grid discretization. It is known that unstructured grids perform well in dealing with boundary fitting problems in complex nearshore regions. However, it is time-consuming to find a set of unstructured grids i...
ver más
|
|
|
|
|
|
|
|
|
Dapei Liu, Xin Wang, Yao Cai, Zihao Liu and Zheng-Jiang Liu
Regional collision risk identification and prediction is important for traffic surveillance in maritime transportation. This study proposes a framework of real-time prediction for regional collision risk by combining Density-Based Spatial Clustering of A...
ver más
|
|
|
|
|
|
|
|
|
Peng Chen, Ying Li, Hui Zhou, Bingxin Liu and Peng Liu
The synthetic aperture radar (SAR) has a special ability to detect objects in any climate and weather conditions. Consequently, SAR images are widely used in maritime transportation safety and fishery law enforcement for maritime object detection. Curren...
ver más
|
|
|
|