Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Liqing Xiao"'
Autor:
Liqing Xiao
Publikováno v:
Complexity, Vol 2021 (2021)
In electrical resistance tomography (ERT) technology for human lung, under the same experimental conditions, the width of the sensitive field boundary electrode has a significant impact on the calculation accuracy of the inverse problem besides the f
Externí odkaz:
https://doaj.org/article/3e513ff80ae842ea8c6b4ed603e87e98
Autor:
Elizabeth Tkaczynski, Abinaya Arulselvan, John Tkaczynski, Stephen Avery, Liqing Xiao, Beverly Torok-Storb, Kraig Abrams, Narayanam V. Rao, Gregory Johnson, Thomas P. Kennedy, Mortimer Poncz, Michele P. Lambert
Publikováno v:
Blood Advances, Vol 2, Iss 7, Pp 754-761 (2018)
Abstract: Thrombocytopenia is a significant complication of chemotherapy and radiation therapy. Platelet factor 4 (PF4; CXCL4) is a negative paracrine of megakaryopoiesis. We have shown that PF4 levels are inversely related to steady-state platelet c
Externí odkaz:
https://doaj.org/article/4b85415beb2e418f91dface3b15ff817
Autor:
Wenjing, Jia, Liqing, Xiao
Publikováno v:
Journal of Physics: Conference Series; Sep2023, Vol. 2589 Issue 1, p1-7, 7p
Publikováno v:
International Journal of Food Science & Technology. 56:6214-6224
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c752e26ee370cad2d78276f52d14aa26
https://doi.org/10.1111/ijfs.15131
https://doi.org/10.1111/ijfs.15131
Autor:
Liqing Xiao1 lqx1981@tju.edu.cn
Publikováno v:
Traitement du Signal. Feb2021, Vol. 38 Issue 1, p105-113. 9p.
Autor:
Liqing Xiao
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Parameter tuning of PID controller for liquid level control of beer filling machine was studied in this paper, which can meet the demand of accurate controlling in beer production and improve the rapidity under the same conditions. Firstly, an improv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0db39fedbcd324a5201eac6e02bb8c9c
http://europepmc.org/articles/PMC8325588
http://europepmc.org/articles/PMC8325588
Autor:
Liqing Xiao
Publikováno v:
European Journal of Electrical Engineering. 21:439-446
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21cfb18818f18167836a1e67f9212c75
https://doi.org/10.18280/ejee.210506
https://doi.org/10.18280/ejee.210506
Publikováno v:
2018 Chinese Control And Decision Conference (CCDC).
In order to improve the accuracy of the inverse problem in electrical resistance tomography (ERT) technique, by adopting improved elite strategy and applying particle swarm optimization to the mutation operation, an improved genetic algorithm is prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16056852696872fe1d0b499f94223606
https://doi.org/10.1109/ccdc.2018.8408151
https://doi.org/10.1109/ccdc.2018.8408151
Publikováno v:
2018 Chinese Control And Decision Conference (CCDC).
Aiming to improve the resolution of the reconstructed image in electrical resistance tomography (ERT) technique for human lung, an improved particle swarm optimization (PSO) image reconstruction algorithm is proposed based on prior knowledge and clus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b1136de57028e810498d807a0863a05
https://doi.org/10.1109/ccdc.2018.8408152
https://doi.org/10.1109/ccdc.2018.8408152