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Mei Bie, Huan Xu, Quanle Liu, Yan Gao, Kai Song and Xiangjiu Che
Facial expression recognition (FER) is an important field in computer vision with many practical applications. However, one of the challenges in FER is dealing with small sample data, where the number of samples available for training machine learning al...
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Bahareh Lashkari and Petr Musilek
With the widespread adoption of blockchain platforms across various decentralized applications, the smart contract?s vulnerabilities are continuously growing and evolving. Consequently, a failure to optimize conventional vulnerability analysis methods re...
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Xing Wu, Yangyang Qi, Jun Song, Junfeng Yao, Yanzhong Wang, Yang Liu, Yuexing Han and Quan Qian
Scene Text Detection (STD) is critical for obtaining textual information from natural scenes, serving for automated driving and security surveillance. However, existing text detection methods fall short when dealing with the variation in text curvatures,...
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Nariman Adel Hussein, Hoda M. O. Mokhtar and Mohamed E. El-Sharkawi
Community search is a basic problem in graph analysis. In many applications, network nodes have certain properties that are important for the community to make sense of the application; hence, attributes are associated with nodes to capture their propert...
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Ji-Kang Chen, Guo-Dong Zhang and Wen-Yang Duan
Maritime traffic has increased considerably in recent years, making energy efficiency and navigation safety of ships more crucial than ever. Hence, a two-time scale model based on the Taylor expansion boundary element method (TEBEM) is proposed to predic...
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