Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tianyi Zou"'
Publikováno v:
Mobile Information Systems. 2022:1-14
With the rapid development of deep learning, image generation technology has become one of the current hot research areas. A deep convolutional generative adversarial network (DCGAN) can better adapt to complex image distributions than other methods.
Publikováno v:
Multimedia Tools and Applications. 81:33185-33203
Publikováno v:
2022 10th International Conference on Orange Technology (ICOT).
The cell membrane, which separates the cell from the environment, plays a key role in signal transduction, energy conversion and substance transport. Although previous membrane models have successfully interpreted some functions of the cell membrane,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22a99c6cfba0a27ee72eda7b82af48d0
https://doi.org/10.1101/2022.09.19.508494
https://doi.org/10.1101/2022.09.19.508494
Publikováno v:
Environmental Earth Sciences. 81
Autor:
Guanfang Zhao, Sihang Cheng, Yang Yu, Tianyi Zou, Huili Wang, Changlu Tao, Guoqiang Bi, Z. Hong Zhou, Hongda Wang
As the structural unit of life, cell is defined by the membrane system. The cell membrane separates the internal and external environment of the cell, and the endomembrane system defines the organelles to perform different functions1-3. However, lack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c44eb35b8fff381790e29f022ae775f1
https://doi.org/10.1101/2021.12.03.471052
https://doi.org/10.1101/2021.12.03.471052
With the rapid development of deep learning, image generation technology has become one of the current hot research areas. A deep convolutional generative adversarial network (DCGAN) can better adapt to complex image distributions than other methods.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e232ffa001bc8aff8bc47c3ca1286a37
https://doi.org/10.21203/rs.3.rs-266104/v1
https://doi.org/10.21203/rs.3.rs-266104/v1
Autor:
Tianyi Zou, Tomomichi Sugihara
Publikováno v:
BioRob
Two approaches to on-line fitting of the human kinematics model and marker arrangement are proposed for accurate pose estimation in motion tracking. A ‘flexible’ skeleton-marker model that can adjust the lengths of the body segments and relative
Autor:
Tianyi Zou, Tomomichi Sugihara
Publikováno v:
BioRob
A method to identify a human model as a rigid kinematic chain and marker arrangement, which is referred to as a human skeleton-marker model in this paper, from the data collected by an optical motion capture system is proposed. The model is utilized