29 citations · 89 across the 13 of their papers we have counts for
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cs.LG2022
Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network
Young-ho Cho, Shaohui Liu, Duehee Lee +1
Generating wind power scenarios is very important for studying the impacts of multiple wind farms that are interconnected to the grid. We develop a graph convolutional generative a…
cs.CV2022★ 1 cited
An Unsupervised Deep-Learning Method for Bone Age Assessment
Hao Zhu, Wan-Jing Nie, Yue-Jie Hou +3
The bone age, reflecting the degree of development of the bones, can be used to predict the adult height and detect endocrine diseases of children. Both examinations of radiologist…