Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Qifeng, Sun"'
Publikováno v:
In Current Problems in Surgery January 2025 62
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundThe primary objective of this research is to devise a model to predict the pathologic complete response in esophageal squamous cell carcinoma (ESCC) patients undergoing neoadjuvant immunotherapy combined with chemoradiotherapy (nICRT).Metho
Externí odkaz:
https://doaj.org/article/2484aaf6aca645bc85d7f54b5810d239
Autor:
Donghang Liu, Xuekui Shangguan, Keyu Wei, Chensi Wu, Xiaoying Zhao, Qifeng Sun, Yaoyu Zhang, Ruijun Bai
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 4, Iss , Pp 340-348 (2023)
As intelligent systems continue to evolve, problems are becoming increasingly complex. The constant abundance of data puts a higher demand on the value of data utilization. Granular computing is a new computational paradigm for complex problem-solvin
Externí odkaz:
https://doaj.org/article/1206e9cecb3d46e597461b38b0dbd475
Publikováno v:
High Voltage, Vol 6, Iss 5, Pp 861-872 (2021)
Abstract Despite the complicated fault mechanism of power equipment, with the increasing promotion and development of the Ubiquitous Power Internet of Things (UPIoT), the fault information of power equipment can be instantly saved, which makes possib
Externí odkaz:
https://doaj.org/article/c3a4a18918ef4c269fae0e5e9c9970b7
Publikováno v:
Petroleum Exploration and Development, Vol 48, Iss 4, Pp 978-986 (2021)
Azimuth gamma logging while drilling (LWD) is one of the important technologies of geosteering but the information of real-time data transmission is limited and the interpretation is difficult. This study proposes a method of applying artificial inte
Externí odkaz:
https://doaj.org/article/54874368ab3d4a73b211f5c629562f87
Autor:
Qifeng Sun, Xingzhe Huang, Godfrey Kibalya, Neeraj Kumar, S. V. N. Santhosh Kumar, Peiying Zhang, Dongliang Xie
Publikováno v:
IEEE Access, Vol 9, Pp 104183-104196 (2021)
Deep learning model shows great advantages in various fields. However, researchers pay attention to how to improve the accuracy of the model, while ignoring the security considerations. The problem of controlling the judgment result of deep learning
Externí odkaz:
https://doaj.org/article/e518a2ba15c0472dad448fc5fa40f1bb
Publikováno v:
IEEE Access, Vol 8, Pp 87329-87340 (2020)
The advancement of Industry 4.0 and Industrial Internet of Things (IIoT) has laid more emphasis on reducing the parameter amount and storage space of the model in addition to the automatic and accurate fault diagnosis. In this case, this paper propos
Externí odkaz:
https://doaj.org/article/9b38f3ed7d844d138d79c6e65fcce69c
Publikováno v:
IEEE Access, Vol 7, Pp 150226-150236 (2019)
With the construction and promotion of the Ubiquitous Power Internet of Things (UPIoT), it is an increasingly urgent challenge to comprehensively improve the recognition accuracy of the gas-insulated switchgear (GIS) partial discharge (PD), and to in
Externí odkaz:
https://doaj.org/article/eb731d07d08e4686807fff2ce76388d9
Autor:
Qifeng Sun, Yan Gao, Yehui Zhang, Hongmei Cao, Jiajia Liu, Shi-Yong Neo, Keguang Chen, Yanping Bi, Jing Wu
Publikováno v:
Cells, Vol 11, Iss 18, p 2881 (2022)
Lung squamous cell carcinoma (Lung SCC) is associated with metastatic disease, resulting in poor clinical prognosis and a low survival rate. The aberrant epithelial–mesenchymal transition (EMT) and long non-coding RNA (LncRNA) are critical attribut
Externí odkaz:
https://doaj.org/article/bf680ea78c474261b2cf43e68b8715fa
Publikováno v:
International Journal of Energy Research. 46:18225-18238
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c0088e453e4cddc3115f3f786f76bf0
https://doi.org/10.1002/er.8438
https://doi.org/10.1002/er.8438