Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Chak-Fong Cheang"'
Publikováno v:
Sensors, Vol 22, Iss 4, p 1492 (2022)
It is challenging for endoscopists to accurately detect esophageal lesions during gastrointestinal endoscopic screening due to visual similarities among different lesions in terms of shape, size, and texture among patients. Additionally, endoscopists
Externí odkaz:
https://doaj.org/article/b80743ffb125400189a12c7d8d527906
Autor:
Suigu Tang, Xiaoyuan Yu, Chak Fong Cheang, Yanyan Liang, Penghui Zhao, Hon Ho Yu, I Cheong Choi
Publikováno v:
Computers in Biology and Medicine. 157:106723
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f01d51d34aea4c39a57430a150847b50
https://doi.org/10.1016/j.compbiomed.2023.106723
https://doi.org/10.1016/j.compbiomed.2023.106723
Publikováno v:
Computer Methods and Programs in Biomedicine. 231:107399
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7e185e687a7e3af75aef3d623a1e634
https://doi.org/10.1016/j.cmpb.2023.107399
https://doi.org/10.1016/j.cmpb.2023.107399
In this brief, we conduct a complex-network analysis of the Bitcoin transaction network. In particular, we design a new sampling method, namely random walk with flying-back (RWFB), to conduct effective data sampling. We then conduct a comprehensive a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ddac922912a0ada5d36f34517357be6
http://arxiv.org/abs/2203.09026
http://arxiv.org/abs/2203.09026
Autor:
Chak Fong Cheang, Hongbin Huang, Guang Yu, Anfeng Liu, Shuhui Chen, Haiwen Chen, Fang Liu, Zhiping Cai
Publikováno v:
Computers, Materials & Continua. 62:917-927
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::082de971eee98afc7a03220f89a2d8ed
https://doi.org/10.32604/cmc.2020.05981
https://doi.org/10.32604/cmc.2020.05981
Publikováno v:
Sensors; Volume 22; Issue 1; Pages: 283
Sensors, Vol 22, Iss 283, p 283 (2022)
Sensors (Basel, Switzerland)
Sensors, Vol 22, Iss 283, p 283 (2022)
Sensors (Basel, Switzerland)
The automatic analysis of endoscopic images to assist endoscopists in accurately identifying the types and locations of esophageal lesions remains a challenge. In this paper, we propose a novel multi-task deep learning model for automatic diagnosis,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24f104377e41327ff80e0918108b3d7d
Publikováno v:
Sensors; Volume 22; Issue 4; Pages: 1492
It is challenging for endoscopists to accurately detect esophageal lesions during gastrointestinal endoscopic screening due to visual similarities among different lesions in terms of shape, size, and texture among patients. Additionally, endoscopists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce6e6528aac1908d440135781bc05442
https://pubmed.ncbi.nlm.nih.gov/35214396
https://pubmed.ncbi.nlm.nih.gov/35214396
Publikováno v:
Computers, Materials & Continua. 58:15-26
The extreme imbalanced data problem is the core issue in anomaly detection. The amount of abnormal data is so small that we can not get adequate information to analyze it. The mainstream methods focus on taking fully advantages of the normal data, of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fb4e397be093378090f029bd5db85b8
https://doi.org/10.32604/cmc.2019.03708
https://doi.org/10.32604/cmc.2019.03708
Publikováno v:
Computers, Materials & Continua. 59:955-964
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14fc85bdce96d040a46eb8f869e3f9a3
https://doi.org/10.32604/cmc.2019.05769
https://doi.org/10.32604/cmc.2019.05769
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 65:2889-2902
This paper describes a hardware-efficient feedback polynomial topology for digital predistortion (DPD) linearization of power amplifiers. Unlike the existing pruned Volterra-series DPD linearization that compensates the nonlinearities in parallel, ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb6d22a818f350b8a0abd7370bc5f6ad
https://doi.org/10.1109/tcsi.2017.2788082
https://doi.org/10.1109/tcsi.2017.2788082