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pro vyhledávání: '"Wang, Shuche"'
Autor:
Wang, Shuchen, 王淑珍
101
With the change of the healthcare environment, safe patient care is one of the rights that the population has become aware of. Hence, healthcare facilities all wish to develop and utilize information technology and resources to enhance compe
With the change of the healthcare environment, safe patient care is one of the rights that the population has become aware of. Hence, healthcare facilities all wish to develop and utilize information technology and resources to enhance compe
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/30004508734181123129
Autor:
Wang, Shuche, Tan, Vincent Y. F.
Distributed gradient descent algorithms have come to the fore in modern machine learning, especially in parallelizing the handling of large datasets that are distributed across several workers. However, scant attention has been paid to analyzing the
Externí odkaz:
http://arxiv.org/abs/2407.14111
Permutation codes in the Ulam metric, which can correct multiple deletions, have been investigated extensively recently owing to their applications. In this work, we are interested in the maximum size of the permutation codes in the Ulam metric and a
Externí odkaz:
http://arxiv.org/abs/2406.16656
Codes for correcting sticky insertions/deletions and limited-magnitude errors have attracted significant attention due to their applications of flash memories, racetrack memories, and DNA data storage systems. In this paper, we first consider the err
Externí odkaz:
http://arxiv.org/abs/2302.02754
Codes in the Damerau--Levenshtein metric have been extensively studied recently owing to their applications in DNA-based data storage. In particular, Gabrys, Yaakobi, and Milenkovic (2017) designed a length-$n$ code correcting a single deletion and $
Externí odkaz:
http://arxiv.org/abs/2301.11680
The problem of correcting deletions has received significant attention, partly because of the prevalence of these errors in DNA data storage. In this paper, we study the problem of correcting a consecutive burst of at most $t$ deletions in non-binary
Externí odkaz:
http://arxiv.org/abs/2210.11818
Due to its higher data density, longevity, energy efficiency, and ease of generating copies, DNA is considered a promising storage technology for satisfying future needs. However, a diverse set of errors including deletions, insertions, duplications,
Externí odkaz:
http://arxiv.org/abs/2208.02330
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Akademický článek
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Publikováno v:
IEEE Transactions on Information Theory; February 2024, Vol. 70 Issue: 2 p964-979, 16p