Zobrazeno 1 - 10
of 295
pro vyhledávání: '"Zhikui, Chen"'
Autor:
Haiyan Mao, Tong Lin, Shanshan Huang, Zhenye Xie, Jialu Chen, Xingkai Shen, Yi Ding, Guangze Xu, Zhikui Chen
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Telomere length is closely associated with the occurrence and development of cardiovascular and other diseases. Monocyte to high-density lipoprotein cholesterol ratio (MHR) is a novel indicator of inflammation, oxidative stress, a
Externí odkaz:
https://doaj.org/article/aab35767f87c4a68a04c7380a89d26fc
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 7, Pp 1613-1622 (2024)
Accurate signal pattern mining of renewable energy generation forecasting (REGF) is important to the daysahead power scheduling of renewable energy power systems. Despite achieving excellent performance with current methods, two issues still persist.
Externí odkaz:
https://doaj.org/article/2b5698d969974bd1be5a8fdfb26bd656
Publikováno v:
Sensors, Vol 24, Iss 22, p 7298 (2024)
Ship image classification identifies the type of ships in an input image, which plays a significant role in the marine field. To enhance the ship classification performance, various research focuses on studying multi-modal ship classification, which
Externí odkaz:
https://doaj.org/article/e806afdb2b8d4a91aa8bf4c6d33bb203
Autor:
Jing Yang, Chao Li, Linus Shing Him Lo, Xu Zhang, Zhikui Chen, Jing Gao, Clara U, Zhijun Dai, Masahiro Nakaoka, Huayong Yang, Jinping Cheng
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1729 (2024)
To effectively protect the marine environment, it is crucial to establish effective environ mental monitoring platforms. Traditional marine environmental monitoring methods heavily rely on morphological identification and field expertise, with the sa
Externí odkaz:
https://doaj.org/article/1d29a6ee986d47fcb1f39990e79ed0fa
Publikováno v:
IET Computer Vision, Vol 15, Iss 8, Pp 573-591 (2021)
Abstract In real‐world applications, large amounts of data from multiple sources come in the form of streams. This makes multi‐view feature learning cost much time when new instances rise incrementally. Dealing with these growing multi‐view dat
Externí odkaz:
https://doaj.org/article/7c256822e38d44669d7e8b327b362593
Publikováno v:
Advanced Ultrasound in Diagnosis and Therapy, Vol 5, Iss 4, Pp 291-297 (2021)
Objective: Imaging modalities for pancreatic intraductal papillary mucinous neoplasm (IPMN) often provide a large amount of information, and an adequate comparison of their diagnostic efficacies cannot be made by simply referring to the diagnostic ac
Externí odkaz:
https://doaj.org/article/e526d7729be94e63bf25f3009e1034d4
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
This study aimed to develop and evaluate a nomogram based on an ultrasound radiomics model to predict the risk grade of gastrointestinal stromal tumors (GISTs). 216 GIST patients pathologically diagnosed between December 2016 and December 2021 were r
Externí odkaz:
https://doaj.org/article/e3289a8341f54c6f96df4485a8463bc9
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Radiofrequency catheter ablation (RFCA) has become the standard effective therapy for supraventricular tachycardia, but the reported success rates of ablation have differed across a large number of single-center studies. The main reason for
Externí odkaz:
https://doaj.org/article/1dc5400006d24499a7a76d41704e3fc1
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 2, Pp 1169-1186 (2021)
People are exploring new ideas based on artificial intelligent infrastructures for immediate processing, in which the main obstacles of widely-deploying deep methods are the huge volume of neural network and the lack of training data. To meet the hig
Externí odkaz:
https://doaj.org/article/51477536a5894a0fa1b32e8de918a7c4
Publikováno v:
IEEE Access, Vol 9, Pp 144976-144984 (2021)
Recently, multi-view representation learning has gained rapid growth in various fields. Most of previous multi-view learning methods rely on strong notions of distances that often provide no useful gradients in deep network training, which greatly de
Externí odkaz:
https://doaj.org/article/24974fc3e5cd4842a3baf453efb2b37a