Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jingfeng Pan"'
Autor:
Tingting Lou, Annan Li, Houchao Xu, Jingfeng Pan, Baiying Xing, Ruibo Wu, Jeroen S. Dickschat, Donghui Yang, Ming Ma
Publikováno v:
Journal of the American Chemical Society.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f2faa3da3e681d6c4e79320094faccc
https://doi.org/10.1021/jacs.3c00278
https://doi.org/10.1021/jacs.3c00278
Publikováno v:
2023 IEEE 12th International Conference on Educational and Information Technology (ICEIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21c5bfb17b5802a464f3b2f69d8c53b3
https://doi.org/10.1109/iceit57125.2023.10107829
https://doi.org/10.1109/iceit57125.2023.10107829
Publikováno v:
2021 IEEE International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT).
For the research on drag assist control of spraying robot, the dynamics model of the spraying robot is established using Lagrangian dynamics modeling method from the energy point of view for the spraying robot with 6-DOF. The Sim-scape dynamic model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3a41ce716ffb37db0fd99f3e5e7def2
https://doi.org/10.1109/iceemt52412.2021.9602816
https://doi.org/10.1109/iceemt52412.2021.9602816
Publikováno v:
MMSP
A robust version of non-negative matrix factorization (RNMF) with generalized Kullback-Leibler divergence designed for the task of unsupervised monaural speech enhancement is proposed. RNMF tackles unsupervised speech enhancement problem through fact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78183d9e2880805f916a099e63c7af51
https://doi.org/10.1109/mmsp.2015.7340815
https://doi.org/10.1109/mmsp.2015.7340815
Publikováno v:
2012 International Conference on Computer Vision in Remote Sensing.
Noise reduction is a basic problem in image processing, binary image contains less information than color images, which means it's more difficult to reduce noise in binary image. The most used noise reduction methods are mathematic morphology and med
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d46445cb385284558f6699cef6f2effd
https://doi.org/10.1109/cvrs.2012.6421252
https://doi.org/10.1109/cvrs.2012.6421252
Publikováno v:
2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP); 2015, p1-5, 5p
Publikováno v:
2012 International Conference on Computer Vision in Remote Sensing; 1/ 1/2012, p158-163, 6p