Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ding Tu"'
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
The banking system could be mapped by the network model to generate the structural properties of evolution dynamics. In this study, we empirically investigate the evolution properties of the China bank network from 2008 to 2019 where the banks and le
Externí odkaz:
https://doaj.org/article/efb08df6a7814ec184ec2328a2d841c4
Publikováno v:
Information Processing in Agriculture, Vol 8, Iss 3, Pp 369-379 (2021)
Coughing is an obvious respiratory disease symptom, which affects the airways and lungs of pigs. In pig houses, continuous online monitoring of cough sounds can be used to build an intelligent alarm system for disease early detection. Owing to compli
Externí odkaz:
https://doaj.org/article/83ce9357dc2c4366a41d682d8c014539
Publikováno v:
IEEE Access, Vol 8, Pp 178402-178413 (2020)
With the considerable exploration of blockchain in various industrial fields, the storage architectures of mainstream consortium blockchains exhibit significant performance limitations, which can't meet the requirements of efficient data access with
Externí odkaz:
https://doaj.org/article/5ba780bfe4e6480397475f6edcd54a52
Publikováno v:
Applied Intelligence. 53:4257-4267
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8b1a5c4f3e570480daf30867b48042d
https://doi.org/10.1007/s10489-022-03653-7
https://doi.org/10.1007/s10489-022-03653-7
Publikováno v:
Information Processing in Agriculture. 8:573-580
Pig cough is considered the most common clinical symptom of respiratory diseases. Thus, establishing an early warning system for respiratory diseases in pigs by monitoring and identifying their cough sounds is important. In this paper, we propose a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::847b33b046b9b93a3512758421e035f8
https://doi.org/10.1016/j.inpa.2020.11.003
https://doi.org/10.1016/j.inpa.2020.11.003
Publikováno v:
IEEE Access, Vol 8, Pp 178402-178413 (2020)
With the considerable exploration of blockchain in various industrial fields, the storage architectures of mainstream consortium blockchains exhibit significant performance limitations, which can't meet the requirements of efficient data access with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b53018534ddc5f98b450096916e2df6
https://doi.org/10.1109/access.2020.3027610
https://doi.org/10.1109/access.2020.3027610
Autor:
Weizheng Shen, Nan Ji, Yanling Yin, Baisheng Dai, Ding Tu, Baihui Sun, Handan Hou, Shengli Kou, Yize Zhao
Publikováno v:
Computers and Electronics in Agriculture. 197:106994
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2542ae5e4bd3053e48f24a43c48a750f
https://doi.org/10.1016/j.compag.2022.106994
https://doi.org/10.1016/j.compag.2022.106994
Publikováno v:
Pattern Recognition. 76:203-214
Discovering and tracking topics in a text stream has attracted the interests of many researchers. A limitation of most existing methods is that they organize topics in flat structures. Topic hierarchy could reveal the potential relations between topi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09f0b36f76f6dff3a94b6c4bea9e35e0
https://doi.org/10.1016/j.patcog.2017.11.002
https://doi.org/10.1016/j.patcog.2017.11.002
Publikováno v:
IEEE transactions on cybernetics. 49(9)
Topic models have achieved big success in recent years. To detect topics in a text stream, various online topic models have been proposed in the literature. The limitations of these works include that: 1) most of them run with fixed topic numbers and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad8407b258c631b91155cc9bc7d6ebca
https://pubmed.ncbi.nlm.nih.gov/29994139
https://pubmed.ncbi.nlm.nih.gov/29994139
Publikováno v:
IEEE transactions on cybernetics. 48(1)
Rare category detection aims to find interesting and statistically significant anomalies and incorporates ideas from active learning and semisupervised learning. The challenge of rare category detection is to find the rare classes of the anomalies in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f137b2b0f81322ce398e580cca42c01
https://pubmed.ncbi.nlm.nih.gov/27875239
https://pubmed.ncbi.nlm.nih.gov/27875239