Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Chengbin Peng"'
Autor:
Chengkang Zhang, Ziwen Zhou, Tianlong Guo, Xin Huang, Chengbin Peng, Zhideng Lin, Meixia Chen, Wei Liu
Publikováno v:
Genes, Vol 14, Iss 12, p 2235 (2023)
Tea is an important cash crop worldwide, and its nutritional value has led to its high economic benefits. Tea anthracnose is a common disease of tea plants that seriously affects food safety and yield and has a far-reaching impact on the sustainable
Externí odkaz:
https://doaj.org/article/c67efadd95cf448ebc048fac11f2f40f
Publikováno v:
Entropy, Vol 25, Iss 1, p 144 (2023)
With the development of image recovery models, especially those based on adversarial and perceptual losses, the detailed texture portions of images are being recovered more naturally. However, these restored images are similar but not identical in de
Externí odkaz:
https://doaj.org/article/d32cdba488b04655b0886a7cb2d3cfc0
Autor:
Xinqing Li, Tanguy Tresor Sindihebura, Lei Zhou, Carlos M. Duarte, Daniel P. Costa, Mark A. Hindell, Clive McMahon, Mônica M.C. Muelbert, Xiangliang Zhang, Chengbin Peng
Publikováno v:
PeerJ Computer Science, Vol 7, p e656 (2021)
Data prediction and imputation are important parts of marine animal movement trajectory analysis as they can help researchers understand animal movement patterns and address missing data issues. Compared with traditional methods, deep learning method
Externí odkaz:
https://doaj.org/article/ea02dbdc65fa4c4cba4e7793d7ecd3f0
Publikováno v:
Molecules, Vol 27, Iss 18, p 5967 (2022)
Predicting products of organic chemical reactions is useful in chemical sciences, especially when one or more reactants are new organics. However, the performance of traditional learning models heavily relies on high-quality labeled data. In this wor
Externí odkaz:
https://doaj.org/article/a12be7d893934d7e807faf55a287bf10
Publikováno v:
Entropy, Vol 24, Iss 9, p 1190 (2022)
Graph neural networks (GNNs) with feature propagation have demonstrated their power in handling unstructured data. However, feature propagation is also a smooth process that tends to make all node representations similar as the number of propagation
Externí odkaz:
https://doaj.org/article/91529c54281f478fa1ca8a1e70c85860
Publikováno v:
PeerJ Computer Science, Vol 7, p e592 (2021)
Motion analysis is important in video surveillance systems and background subtraction is useful for moving object detection in such systems. However, most of the existing background subtraction methods do not work well for surveillance systems in the
Externí odkaz:
https://doaj.org/article/cacec3bba91047b7a249ef436ea8a461
Autor:
Ka-Chun Wong, Junyi Chen, Jiao Zhang, Jiecong Lin, Shankai Yan, Shxiong Zhang, Xiangtao Li, Cheng Liang, Chengbin Peng, Qiuzhen Lin, Sam Kwong, Jun Yu
Publikováno v:
iScience, Vol 15, Iss , Pp 332-341 (2019)
Summary: The early detection of cancers has the potential to save many lives. A recent attempt has been demonstrated successful. However, we note several critical limitations. Given the central importance and broad impact of early cancer detection, w
Externí odkaz:
https://doaj.org/article/8d6dac9870cf433bac646b466c96ee00
Autor:
Chengbin Peng, Carlos M. Duarte, Daniel P. Costa, Christophe Guinet, Robert G. Harcourt, Mark A. Hindell, Clive R. McMahon, Monica Muelbert, Michele Thums, Ka-Chun Wong, Xiangliang Zhang
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2935 (2019)
The analysis of animal movement from telemetry data provides insights into how and why animals move. While traditional approaches to such analysis mostly focus on predicting animal states during movement, we describe an approach that allows us to ide
Externí odkaz:
https://doaj.org/article/9b7ca2cee58f476da05d0d281be43b68
Publikováno v:
Applied Sciences, Vol 8, Iss 11, p 2222 (2018)
Face detection for security cameras monitoring large and crowded areas is very important for public safety. However, it is much more difficult than traditional face detection tasks. One reason is, in large areas like squares, stations and stadiums, f
Externí odkaz:
https://doaj.org/article/df1b03778a38420eaa11422621ed15d0
Publikováno v:
PLoS ONE, Vol 7, Iss 8 (2012)
Externí odkaz:
https://doaj.org/article/2f886b944e4d46e699f09e0da184e242