Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Jiajia Miao"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12415-12428 (2021)
Domain adaptation (DA) aims to enhance the feature transferability of a model across different domains with feature distribution differences, which has been widely explored in many computer vision tasks such as semantic segmentation and object detect
Externí odkaz:
https://doaj.org/article/525e18873218458f96eac2ce6278f97d
Autor:
Jianqiu Zhao, Na Li, Xinyu Zhou, Zihan Yu, Mei Lan, Siyu Chen, Jiajia Miao, Yulai Li, Guiying Li, Fang Yang
Publikováno v:
Micromachines, Vol 14, Iss 1, p 144 (2023)
Cell lysis is a key step for studying the structure and function of proteins in cells and an important intermediate step in drug screening, cancer diagnosis, and genome analysis. The current cell lysis methods still suffer from limitations, such as t
Externí odkaz:
https://doaj.org/article/8c708e4bda7a47fd9a7e03152e0a3bf7
Autor:
Kailiang Ren, Jiajia Miao, Wenzhuo Shen, Huanhuan Su, Yunpeng Pan, Jiajin Zhao, Xiangyu Pan, Yuan Li, Yaokun Fu, Lu Zhang, Shumin Han
Publikováno v:
Progress in Natural Science: Materials International. 32:684-692
Autor:
Kailiang Ren, Lu Zhang, Jiajia Miao, Jiajin Zhao, Shuqin Yang, Yaokun Fu, Yuan Li, Shumin Han
Publikováno v:
International Journal of Hydrogen Energy. 47:14961-14970
Publikováno v:
Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022).
Autor:
Kailiang Ren, Lu Zhang, Jiajia Miao, Wenzhuo Shen, Huanhuan Su, Yunpeng Pan, Jiajin Zhao, Xiangyu Pan, Yuan Li, Yaokun Fu, Shumin Han
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
IGARSS
Hyperspectral image classification with limited training samples has become a hot research topic recently. Though deep convolution neural network shows powerful ability for feature extraction, its good performance often relies on sufficient training
Publikováno v:
Proceedings of the 2018 2nd High Performance Computing and Cluster Technologies Conference.
A large-scale distributed graph data substrate is the foundation of graph databases and knowledge base systems. Existing systems either scale up the capacity of a single compute node or build on distributed relational models (table based systems). Th
Publikováno v:
2016 IEEE International Conference on Big Data Analysis (ICBDA).
Cloud storage technology is an important research orientation in cloud computing field. Due to privacy leakage and security problems, it is difficult for organizations holding core data (such as innovative enterprise and army) to extensively apply pu
Publikováno v:
Journal of Central South University of Technology. 16:976-981
Supposing that the overall situation is dug out from the distributed monitoring nodes, there should be two critical obstacles, heterogenous schema and instance, to integrating heterogeneous data from different monitoring sensors. To tackle the challe