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Chunyan Zeng, Shuai Kong, Zhifeng Wang, Kun Li and Yuhao Zhao
In recent years, digital audio tampering detection methods by extracting audio electrical network frequency (ENF) features have been widely applied. However, most digital audio tampering detection methods based on ENF have the problems of focusing on spa...
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Konstantinos Filippou, George Aifantis, George A. Papakostas and George E. Tsekouras
In this paper, we built an automated machine learning (AutoML) pipeline for structure-based learning and hyperparameter optimization purposes. The pipeline consists of three main automated stages. The first carries out the collection and preprocessing of...
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Kay Smarsly, Kosmas Dragos, Jan Stührenberg and Mathias Worm
With the advancements in information, communication, and sensing technologies, structural health monitoring (SHM) has matured into a substantial pillar of infrastructure maintenance. In particular, wireless sensor networks have gradually been incorporate...
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Seyed Ahmad Reza Saeidi Hosseini, Abdolmajid Mohammadian, Philip J. W. Roberts and Ozeair Abessi
Wastewaters are commonly discharged into the seas and oceans through multiport diffusers. Accurate prediction of the complex interactions of multiport diffusers with the receiving water bodies is significant for the optimal design of outfall systems and ...
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Shufang Lu, Funan Lu, Xufeng Shou and Shuaiyin Zhu
Accurate human body profiles have many potential applications. Image-based human body profile estimation can be regarded as a fine-grained semantic segmentation problem, which is typically used to locate objects and boundaries in images. However, existin...
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