Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Luming CAO"'
Autor:
Zhaoxia Li, Wei Guo, Yangzhi Zhao, Haotian Wang, Jing Guo, Zhe Li, Bowen Wang, Luming Cao, Jihong Xu, Ken H. Young, Ou Bai
Publikováno v:
Cancer Medicine, Vol 13, Iss 10, Pp n/a-n/a (2024)
Abstract Objective Recent studies have found a high prevalence of hepatitis B virus (HBV) infection in patients with non‐Hodgkin's lymphoma (NHL), especially B‐cell non‐Hodgkin's lymphoma (B‐NHL). However, most studies did not classify it and
Externí odkaz:
https://doaj.org/article/7f1e298d4ee1410bb284d225dab6b355
Autor:
Dongyue JIN, Luming CAO, You WANG, Xiaoxue JIA, Yongan PAN, Yuxin ZHOU, Xin LEI, Yuanyuan LIU, Yingqi YANG, Wanrong ZHANG
Publikováno v:
IEICE Transactions on Electronics. :704-711
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3abf67fb2be355c86ca0a2d2d3e11e74
https://doi.org/10.1587/transele.2021ecp5061
https://doi.org/10.1587/transele.2021ecp5061
Publikováno v:
Computers & Graphics. 90:116-125
Piecewise planar 3D objects are very common in digital furniture manufacturing. In this paper, we propose a novel method for automatic reconstruction of 3D objects with planar facets from unorganized point clouds. We formulate this problem into a poi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13ea7807f7b6dbaa1d5f80fdeb6cfca9
https://doi.org/10.1016/j.cag.2020.05.019
https://doi.org/10.1016/j.cag.2020.05.019
Autor:
Shuangmin Chen, Junhao Zhao, Guozhu Liu, Jian Xu, Yuanfeng Zhou, Shiqing Xin, Ying He, Luming Cao
Publikováno v:
Computer-Aided Design. 127:102879
Computing geodesic distances on polyhedral surfaces is an important task in digital geometry processing. Speed and accuracy are two commonly-used measurements of evaluating a discrete geodesic algorithm. In applications, such as parametrization and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbd1d23761437e717b313225e6f5e580
https://doi.org/10.1016/j.cad.2020.102879
https://doi.org/10.1016/j.cad.2020.102879
Publikováno v:
IFAC Proceedings Volumes. 45:234-238
The challenge of optimization control of batch processes is how to combine both discrete-time (batch-axis) information and continuous-time (time-axis) information into an integrated frame when designing optimal controller. By using data-driven techno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26992d07e24f52143826c5b57702a64a
https://doi.org/10.3182/20120710-4-sg-2026.00050
https://doi.org/10.3182/20120710-4-sg-2026.00050
Publikováno v:
Intelligent Computing for Sustainable Energy and Environment ISBN: 9783642371042
A novel integrated learning control system is presented in this paper. It systematically integrates discrete-time (batch-axis) information and continuous-time (time-axis) information into one uniform frame. More specifically, the iterative learning c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d7dd6306dac97a2818477afb63a8ce1
https://doi.org/10.1007/978-3-642-37105-9_15
https://doi.org/10.1007/978-3-642-37105-9_15
Publikováno v:
2011 9th World Congress on Intelligent Control and Automation.
In this paper, a novel data driven-adaptive single neuron predictive controller is proposed. The self-tuning algorithm for the single neuron predictive controller is derived by a rigorous analysis based on the Lyapunov method such that the predicted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe67b8d33a5206addbc5d6671fe0e6bc
https://doi.org/10.1109/wcica.2011.5970724
https://doi.org/10.1109/wcica.2011.5970724
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642155963
LSMS/ICSEE (2)
LSMS/ICSEE (2)
An integrated neuro-fuzzy model and dynamic R-parameter based quadratic criterion-iterative learning control is proposed in this paper. Quadratic criterion-iterative learning control with dynamic parameters is used to improve the performance of itera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c4e1c456de06f000d26870495217322
https://doi.org/10.1007/978-3-642-15597-0_54
https://doi.org/10.1007/978-3-642-15597-0_54
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642156205
LSMS/ICSEE (1)
LSMS/ICSEE (1)
A novel dynamic parameters-based quadratic criterion-iterative learning control is proposed in this paper. Firstly, quadratic criterion-iterative learning control with dynamic parameters is used to improve the performance of iterative learning contro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f40706420fabe233531fed10ab1a67b8
https://doi.org/10.1007/978-3-642-15621-2_14
https://doi.org/10.1007/978-3-642-15621-2_14
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642156205
LSMS/ICSEE (1)
LSMS/ICSEE (1)
In this paper, considering the multi-objective problems in batch processes, an improved multi-objective particle swarm optimization based on pareto-optimal solutions is proposed. In this method, a novel diversity preservation strategy that combines t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0559a776c2591324cfc31ec4010a6158
https://doi.org/10.1007/978-3-642-15621-2_5
https://doi.org/10.1007/978-3-642-15621-2_5