Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Yuyu Liang"'
Autor:
Zhuoxi Li, Yuyu Liang, Xiang Li, Wanjun Mu, Baihua Chen, Jun Tu, Lina Lv, Yanqiu Yang, Xingliang Li
Publikováno v:
Nuclear Analysis; Sep2023, Vol. 2 Issue 3, p1-6, 6p
Publikováno v:
Sensors and Actuators B: Chemical. 378:133137
Autor:
Frédéric Berger, Holger Breuninger, Sean A. Montgomery, Ezgi Süheyla Karaaslan, Nan Wang, Sascha Laubinger, Chang Liu, Natalie Faiß, Yuyu Liang, Kenneth W. Berendzen
Publikováno v:
Nature Plants
Information in the genome is not only encoded within sequence or epigenetic modifications, but is also found in how it folds in three-dimensional space. The formation of self-interacting genomic regions, named topologically associated domains (TADs),
Autor:
Zhuoxi Li, Yuyu Liang, Baihua Chen, Wanjun Mu, Jun Tu, Yuchuan Yang, Yanqiu Yang, Hongyuan Wei, Xingliang Li
Publikováno v:
Nuclear Analysis. 1:100049
Publikováno v:
Sensors and Actuators B: Chemical. 359:131539
Publikováno v:
Metallurgical Research & Technology. 119:313
To understand the disadvantages caused by As in Cu-bearing steels during hot working processes, high temperature oxidation and surface hot shortness characteristics were systematically investigated using thermogravimetry (TG), optical microscopy (OM)
Publikováno v:
Metallurgical Research & Technology. 119:504
The effect of Ce on hot ductility of Cu-As bearing steel in the temperature ranging from 700 to 1100 °C was investigated using Gleeble-3800 thermal-mechanical simulator. The hot ductility evaluation and fracture morphology observation showed that th
Publikováno v:
Neural Computing and Applications. 31:3075-3094
Figure-ground image segmentation is a process of separating regions of interest from a target image. Genetic programming has been employed to evolve segmentors that have the potential to capture high variations of images and conduct accurate segmenta
Publikováno v:
Engineering Applications of Artificial Intelligence. 62:96-108
Figure-ground segmentation is the process of separating regions of interest from unimportant background. One challenge is to segment images with high variations (e.g. containing a cluttered background), which requires effective feature sets to captur
Publikováno v:
Applied Soft Computing. 51:83-95
Figure-ground segmentation is a crucial preprocessing step for many image processing and computer vision tasks. Since different object classes need specific segmentation rules, the top-down approach, which learns from the object information, is more