Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jiangpeng, Yan"'
Autor:
Sharib Ali, Noha Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel-Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, JiangPeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal of polyps are highly op
Externí odkaz:
https://doaj.org/article/3d626e6de5c5444f94dfea2e49ff5ee3
Publikováno v:
Journal of Materials Research and Technology, Vol 25, Iss , Pp 5538-5560 (2023)
Multi-energy fields provide higher dimensional precision control and desirable performance for microforming processes. The constitutive model under low strain level was established to describe the coupled effect of pulsed current and ultrasonic vibra
Externí odkaz:
https://doaj.org/article/aca7c9b5163f4836a88e3de87185206b
Publikováno v:
In Procedia Manufacturing 2020 50:652-657
Publikováno v:
IEEE Access, Vol 8, Pp 194315-194332 (2020)
Nuclear energy can make an important contribution to low-carbon energy supply for Industry 4.0, while Industry 4.0 can reform this industry in return. As a typical and complex man-machine-network integration system, various faults, insufficient autom
Externí odkaz:
https://doaj.org/article/6eef14a6da4f46d48f2499f022de0f74
Publikováno v:
PLoS ONE, Vol 15, Iss 11, p e0242629 (2020)
Online shopping behavior has the characteristics of rich granularity dimension and data sparsity and presents a challenging task in e-commerce. Previous studies on user behavior prediction did not seriously discuss feature selection and ensemble desi
Externí odkaz:
https://doaj.org/article/906630e05d644098b6ebf34a3799e360
Autor:
Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
Publikováno v:
IEEE Transactions on Medical Imaging. 41:3062-3073
Manually segmenting medical images is expertise-demanding, time-consuming and laborious. Acquiring massive high-quality labeled data from experts is often infeasible. Unfortunately, without sufficient high-quality pixel-level labels, the usual data-d
Autor:
Kang Wang, Yanjun Xiang, Jiangpeng Yan, Yuyao Zhu, Hanbo Chen, Hongming Yu, Yuqiang Cheng, Xiu Li, Wei Dong, Yan Ji, Jingjing Li, Dong Xie, Wan Yee Lau, Jianhua Yao, Shuqun Cheng
Publikováno v:
Hepatology International. 16:1188-1198
Microvascular invasion (MVI) is a known risk factor for prognosis after R0 liver resection for hepatocellular carcinoma (HCC). The aim of this study was to develop a deep learning prognostic prediction model by incorporating a new factor of MVI area
Publikováno v:
High Temperature Materials and Processes, Vol 39, Iss 1, Pp 457-465 (2020)
The cylindrical samples of TC4 titanium alloy prepared by spark plasma sintering (SPS) were compressed with hot deformation of 70% on the thermosimulation machine of Gleeble-1500. The temperature of the processes ranged from 850°C to 1,050°C, and t
Publikováno v:
High Temperature Materials and Processes, Vol 39, Iss 1, Pp 328-339 (2020)
The TC4 titanium alloy powder test piece was prepared by spark plasma sintering. The multi-pass hot deformation of the TC4 titanium alloy was tested by using the Gleeble-1500 experiment machine. Measurement of relative density, X-ray diffraction, opt
Publikováno v:
Procedia Manufacturing. 50:713-718
The spark plasma sintered (SPS) TC4 titanium alloy was deformed at deformation temperature of 900℃ and 1000℃ on Gleeble-1500D thermal simulator, and then the microstructure and α/ β phases evolution at different heat treatment parameters were i