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Juan Wang, Jing Zhong and Jiangqi Li
With the development of IoT, IoT devices have proliferated. With the increasing demands of network management and security evaluation, automatic identification of IoT devices becomes necessary. However, existing works require a lot of manual effort and f...
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Zhen Li, Heng Yao, Ran Shi, Tong Qiao and Chuan Qin
In daily life, when taking photos of scenes containing glass, the images of the dominant transmission layer and the weak reflection layer are often blended, which are difficult to be uncoupled. Meanwhile, because the reflection layer contains sufficient ...
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Xiaoming Zhang, Feng Gao, Shunyi Liao, Fan Zhou, Guanfang Cai and Shaoying Li
Mobile phone data is a typical type of big data with great potential to explore human mobility and individual portrait identification. Previous studies in population classifications with mobile phone data only focused on spatiotemporal mobility patterns ...
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Chengming Li, Jiaxi Hu, Zhaoxin Dai, Zixian Fan and Zheng Wu
With the arrival of the big data era, mobile phone data have attracted increasing attention due to their rich information and high sampling rate. Currently, researchers have conducted various studies using mobile phone data. However, most existing studie...
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