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Jianing Ding, Xin Jin and Zhiheng Li
The Time-Period-Based Most Frequent Path (TPMFP) problem has been a hot topic in traffic studies for many years. The TPMFP problem involves finding the most frequent path between two locations by observing the travelling behaviors of drivers in a specifi...
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Yuxin Cui, Shu Li, Yunxiao Shan and Fengqiu Liu
This study focuses on the finite-time set reachability of probabilistic Boolean multiplex control networks (PBMCNs). Firstly, based on the state transfer graph (STG) reconstruction technique, the PBMCNs are extended to random logic dynamical systems. The...
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Xiangpeng Song, Hongbin Yang and Congcong Zhou
Pedestrian attribute recognition is to predict a set of attribute labels of the pedestrian from surveillance scenarios, which is a very challenging task for computer vision due to poor image quality, continual appearance variations, as well as diverse sp...
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Lilun Zhang, Dezhi Wang, Changchun Bao, Yongxian Wang and Kele Xu
Whale vocal calls contain valuable information and abundant characteristics that are important for classification of whale sub-populations and related biological research. In this study, an effective data-driven approach based on pre-trained Convolutiona...
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