Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Zhibo Fan"'
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
IntroductionCorticotomy-assisted tooth movement is commonly performed in clinics, however, its time-limited efficacy and the fear of surgery among patients significantly limit its clinical application. Hence, researchers have investigated non-invasiv
Externí odkaz:
https://doaj.org/article/eb8f77449080496e881ef7af086247c9
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2497 (2024)
This study is dedicated to the development of an advanced ship piping network programming tool to address the challenges faced by traditional text-based design and computation methods when dealing with complex and large-data-volume piping systems, su
Externí odkaz:
https://doaj.org/article/4d8c3943f6a0406d860f31eb4ce42e9c
Autor:
Lei Liu, Yuhong Liu, Yongjian Ai, Jifan Li, Junjie Zhou, Zhibo Fan, Hongjie Bao, Ruihang Jiang, Zenan Hu, Jingting Wang, Ke Jing, Yue Wang, Qionglin Liang, Hongbin Sun
Publikováno v:
iScience, Vol 8, Iss , Pp 61-73 (2018)
Summary: A multicomponent nanocatalyst system was fabricated for the transfer hydrogenation of nitrile compounds. This catalyst system contains palladium, copper, and iron, which are supported on the magnetite nanospheres, and the loading of palladiu
Externí odkaz:
https://doaj.org/article/7531c135b65140299be8e9a20ab6d70b
Publikováno v:
Sensors, Vol 18, Iss 12, p 4173 (2018)
An improved Cam-Shift algorithm with a Kalman filter applied to image-sensor based on outdoor visible light communication (OVLC) is presented in this paper. The proposed optimized tracking algorithm is used to track and extract the region of the targ
Externí odkaz:
https://doaj.org/article/5cfd6bf85f1f4f24b9e6e563146244ed
Publikováno v:
2021 40th Chinese Control Conference (CCC).
Aiming at the poor prediction of lower limb joint angle using surface electromyography (sEMG), a continuous motion estimation method based on binary cuckoo search algorithm (BCS) and random forest (RF) regression is proposed. The sEMG signals of huma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a3322b2aef9da91dfda59e4d0b5bf52
https://doi.org/10.23919/ccc52363.2021.9550023
https://doi.org/10.23919/ccc52363.2021.9550023
Publikováno v:
CVPR
Recently few-shot object detection is widely adopted to deal with data-limited situations. While most previous works merely focus on the performance on few-shot categories, we claim that detecting all classes is crucial as test samples may contain an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a7151230f5470946bb9ca01fe5a27d3
https://doi.org/10.1109/cvpr46437.2021.00450
https://doi.org/10.1109/cvpr46437.2021.00450
Publikováno v:
2020 39th Chinese Control Conference (CCC).
As an important sensing method of exoskeleton, human intention recognition based on surface electromyography (sEMG) has become a research hotspot in recent years. Many existing researches are based on single gesture or single arm movement, which can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81945be337be750ff740a7fe70585451
https://doi.org/10.23919/ccc50068.2020.9188747
https://doi.org/10.23919/ccc50068.2020.9188747
Publikováno v:
CVPR
Few-shot instance segmentation (FSIS) conjoins the few-shot learning paradigm with general instance segmentation, which provides a possible way of tackling instance segmentation in the lack of abundant labeled data for training. This paper presents a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91fe21c93d77c25c6a13e3e4c4dff870
http://arxiv.org/abs/2003.13954
http://arxiv.org/abs/2003.13954
Autor:
Yongjian Ai, Qionglin Liang, Jifan Li, Yue Wang, Zhibo Fan, Jingting Wang, Lei Liu, Ruihang Jiang, Junjie Zhou, Zenan Hu, Ke Jing, Hong-bin Sun, Yuhong Liu, Hongjie Bao
Publikováno v:
iScience
iScience, Vol 8, Iss, Pp 61-73 (2018)
iScience, Vol 8, Iss, Pp 61-73 (2018)
Summary A multicomponent nanocatalyst system was fabricated for the transfer hydrogenation of nitrile compounds. This catalyst system contains palladium, copper, and iron, which are supported on the magnetite nanospheres, and the loading of palladium
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2a806a32f63ef6a54a10a5d9259d1c5
https://doi.org/10.1016/j.isci.2018.09.010
https://doi.org/10.1016/j.isci.2018.09.010
Autor:
Zhibo Fan, Lei Liu, Li Qi, Yongjian Ai, Junjie Zhou, Zixing Shao, Ke Jing, Hong-bin Sun, Qionglin Liang
Publikováno v:
Nano-Structures & Nano-Objects. 10:116-124
A novel oCNT-Chitosan-xFe2O3⋅yBi2O3 nanocomposite has been synthesized as a catalyst for the reduction of nitroarenes to afford corresponding anilines. This catalyst exhibits excellent efficiency and high chemoselectivity towards varieties of nitro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cdf68d5b343c9ba71d7cebd8d894bd4
https://doi.org/10.1016/j.nanoso.2017.03.012
https://doi.org/10.1016/j.nanoso.2017.03.012