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Hongming Li, Lilai Zhang, Hao Cao and Yirui Wu
Deoxyribonucleic Acid (DNA) computing has demonstrated great potential in data encryption due to its capability of parallel computation, minimal storage requirement, and unbreakable cryptography. Focusing on high-dimensional image data for encryption wit...
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Zhixiang Liu, Yuanji Chen, Wenjun Xiao, Wei Song and Yu Li
As an improved method of the lattice Boltzmann method (LBM), the regularized lattice Boltzmann method (RLBM) has been widely used to simulate fluid flow. For solving high Reynolds number problems, large eddy simulation (LES) and RLBM can be combined. The...
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Austin Anderson, Petros Potikas and Katerina Potika
Community detection has been (and remains) a very important topic in several fields. From marketing and social networking to biological studies, community detection plays a key role in advancing research in many different fields. Research on this topic o...
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Yongseok Lee, Jonghee Youn, Kevin Nam, Hyunyoung Oh and Yunheung Paek
This paper focuses on enhancing the performance of the Nth-degree truncated-polynomial ring units key encapsulation mechanism (NTRU-KEM) algorithm, which ensures post-quantum resistance in the field of key establishment cryptography. The NTRU-KEM, while ...
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George Manis, Dimitrios Bakalis and Roberto Sassi
Many popular entropy definitions for signals, including approximate and sample entropy, are based on the idea of embedding the time series into an m-dimensional space, aiming to detect complex, deeper and more informative relationships among samples. How...
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