E-LIB Suche - Ergebnisse für: Shao, Wen-Ming

1

Relationship between the magnitude of haemoglobin changes a..:

Shao, Wen-Ming ; Ye, Lu-Wei ; Zhang, Lu-ming...
BMC Infectious Diseases. 24 (2024) 1 - p. , 2024

2

A high ion conductive solid electrolyte film and interface ..:

Shao, Wen-wen ; Li, Jing-xuan ; Zhong, Liang...
Colloids and Surfaces A: Physicochemical and Engineering Aspects. 679 (2023) - p. 132593 , 2023

Link: https://doi.org/10.1016/..

3

g-C3N4 Boosting the Interfacial Compatibility of Solid-Stat..:

Wang, Peng-Qin ; Shao, Wen-Wen ; Zhong, Liang...
Journal of The Electrochemical Society. 170 (2023) 12 - p. 120527 , 2023

Link: https://doi.org/10.1149/..

4

Insights into the effects of different inorganic fillers on..:

Li, Jie ; Zhong, Liang ; Li, Jing-xuan...
Colloids and Surfaces A: Physicochemical and Engineering Aspects. 671 (2023) - p. 131704 , 2023

Link: https://doi.org/10.1016/..

5

EAA-Net: A novel edge assisted attention network for single..:

Wang, Chao ; Shen, Hao-Zhen ; Fan, Fan...
Knowledge-Based Systems. 228 (2021) - p. 107279 , 2021

Link: https://doi.org/10.1016/..

6

Knowledge reduction methods of covering approximate spaces ..:

Shao, Ming-Wen ; Wu, Wei-Zhi ; Wang, Xi-Zhao.
Knowledge-Based Systems. 191 (2020) - p. 105269 , 2020

Link: https://doi.org/10.1016/..

7

The construction of attribute (object)-oriented multi-granu..:

Shao, Ming-Wen ; Lv, Meng-Meng ; Li, Ken-Wen.
International Journal of Machine Learning and Cybernetics. 11 (2019) 5 - p. 1017-1032 , 2019

Link: https://doi.org/10.1007/..

8

Connections between two-universe rough sets and formal conc..:

Shao, Ming-Wen ; Guo, Li ; Wang, Chang-Zhong
International Journal of Machine Learning and Cybernetics. 9 (2018) 11 - p. 1869-1877 , 2018

Link: https://doi.org/10.1007/..

9

Using single axioms to characterize (S, T)-intuitionistic f..:

Wu, Wei-Zhi ; Shao, Ming-Wen ; Wang, Xia
International Journal of Machine Learning and Cybernetics. 10 (2017) 1 - p. 27-42 , 2017

Link: https://doi.org/10.1007/..

10

Attribute reduction in generalized one-sided formal context:

Shao, Ming-Wen ; Li, Ke-Wen
Information Sciences. 378 (2017) - p. 317-327 , 2017

Link: https://doi.org/10.1016/..

11

Granular reducts of formal fuzzy contexts:

Shao, Ming-Wen ; Leung, Yee ; Wang, Xi-Zhao.
Knowledge-Based Systems. 114 (2016) - p. 156-166 , 2016

Link: https://doi.org/10.1016/..

12

A data reduction method in formal fuzzy contexts:

Li, Kewen ; Shao, Ming-Wen ; Wu, Wei-Zhi
International Journal of Machine Learning and Cybernetics. 8 (2016) 4 - p. 1145-1155 , 2016

Link: https://doi.org/10.1007/..

13

Constructing lattice based on irreducible concepts:

Li, Xin ; Shao, Ming-Wen ; Zhao, Xing-Min
International Journal of Machine Learning and Cybernetics. 8 (2016) 1 - p. 109-122 , 2016

Link: https://doi.org/10.1007/..

14

Axiomatic characterizations of (S, T)-fuzzy rough approxima..:

Wu, Wei-Zhi ; Xu, You-Hong ; Shao, Ming-Wen.
Information Sciences. 334-335 (2016) - p. 17-43 , 2016

Link: https://doi.org/10.1016/..

15

A new type of generalized one-sided concept lattices and it..:

, In: 2015 International Conference on Machine Learning and Cybernetics (ICMLC),

Shao, Ming-Wen ; Li, Ke-Wen - p. 265-270 , 2015

Link: https://doi.org/10.1109/..