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Huafei Xiao, Wenbo Li, Guanzhong Zeng, Yingzhang Wu, Jiyong Xue, Juncheng Zhang, Chengmou Li and Gang Guo
With the development of intelligent automotive human-machine systems, driver emotion detection and recognition has become an emerging research topic. Facial expression-based emotion recognition approaches have achieved outstanding results on laboratory-c...
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Fuad Alattar and Khaled Shaalan
Comparing two sets of documents to identify new topics is useful in many applications, like discovering trending topics from sets of scientific papers, emerging topic detection in microblogs, and interpreting sentiment variations in Twitter. In this pape...
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Hajime Sasaki, Bunshi Fugetsu and Ichiro Sakata
In fields with high science linkage, such as the nanocarbon field, trends in academic papers are particularly important for identifying future technological trends. The use of the number of citations allows us to predict the qualitative trends on a paper...
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Hung Cao and Monica Wachowicz
The proliferation of Internet of Things (IoT) systems has received much attention from the research community, and it has brought many innovations to smart cities, particularly through the Internet of Moving Things (IoMT). The dynamic geographic distribu...
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Lizeth Torres, Javier Jiménez-Cabas, Omar González, Lázaro Molina and Francisco-Ronay López-Estrada
The purpose of this paper is to provide a structural review of the progress made on the detection and localization of leaks in pipelines by using approaches based on the Kalman filter. To the best of the author?s knowledge, this is the first review on th...
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Zhewei Liu, Xiaolin Zhou, Wenzhong Shi and Anshu Zhang
Detecting events using social media data is important for timely emergency response and urban monitoring. Current studies primarily use semantic-based methods, in which “bursts” of certain semantic signals are detected to identify emerging ev...
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