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Chinyang Henry Tseng, Woei-Jiunn Tsaur and Yueh-Mao Shen
In detecting large-scale attacks, deep neural networks (DNNs) are an effective approach based on high-quality training data samples. Feature selection and feature extraction are the primary approaches for data quality enhancement for high-accuracy intrus...
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Guzel Shkaberina, Natalia Rezova, Elena Tovbis and Lev Kazakovtsev
Finding the cluster structure is essential for analyzing self-organized networking structures, such as social networks. In such problems, a wide variety of distance measures can be used. Common clustering methods often require the number of clusters to b...
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Ketan Dalal, Luc Devroye and Ebrahim Malalla
Linear probing continues to be one of the best practical hashing algorithms due to its good average performance, efficiency, and simplicity of implementation. However, the worst-case performance of linear probing seems to degrade with high load factors d...
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Patrizia Defabianis, Alessandro Mussa, Rossella Ninivaggi, Diana Carli and Federica Romano
Beckwith?Wiedemann syndrome (BWS) is a congenital overgrowth disorder caused by various (epi)genetic alterations affecting the expression of genes on chromosome 11p15. Cardinal features include abdominal wall defects, macroglossia, and cancer predisposit...
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Liang Jiang, Jie Chen, Ye Tian and Jing Luo
Basic education resources are basic urban and rural social public security resources, and their spatial distribution is an important issue related to people?s livelihoods and social justice. Taking Wuhan as a case study, this paper analyzed the spatial d...
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Tung-Ching Su, Tsung-Chiang Wu, Ming-Hung Wun and Cheng-Wei Wang
Many studies in the literature have presented multiple remote sensing techniques for defect inspection of paintings. At present, however, papers on defect inspection and restoration of oriental architectural arts?such as door god paintings?are still rare...
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Chunchun Hu and Si Chen
The efficient discovery of significant group patterns from large-scale spatiotemporal trajectory data is a primary challenge, particularly in the context of urban traffic management. Existing studies on group pattern discovery mainly focus on the spatial...
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Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Huan-Keat Chan and Muhammad Radzi Abu Hassan
The increasing pattern of colorectal cancer (CRC) in specific geographic region, compounded by interaction of multifactorial determinants, showed the tendency to cluster. The review aimed to identify and synthesize available evidence on clustering patter...
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Vivian Hirsch, Alice Blufstein, Christian Behm and Oleh Andrukhov
Objective: Cluster of differentiation (CD14) is an important protein involved in activating toll-like receptors by bacterial components. It exists as either a transmembrane or soluble protein, called mCD14 or sCD14, respectively. Several studies show tha...
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Alessandra Antonaci, Roland Klemke and Marcus Specht
Gamification has recently been presented as a successful strategy to engage users, with potential for online education. However, while the number of publications on gamification has been increasing in recent years, a classification of its empirical effec...
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