Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yijiao Liu"'
Publikováno v:
IEEE Access, Vol 12, Pp 93771-93780 (2024)
Polytropic working conditions are prioritized by most intelligent adaptive methods. But the privacy and the inaccessibility of the source data during the transfer learning process are not considered. Moreover, the attention weights for each time poin
Externí odkaz:
https://doaj.org/article/2528bcedc8ca450aa56451a492ac8181
Publikováno v:
Journal of Nanobiotechnology, Vol 20, Iss 1, Pp 1-31 (2022)
Abstract From the global perspective, stroke refers to a highly common cause of disability and death. Ischemic stroke (IS), attributed to blood vessel blockage, preventing the flow of blood to brain, acts as the most common form of stroke. Thus far,
Externí odkaz:
https://doaj.org/article/abb83cc270544630be8a8e709f6926bb
Publikováno v:
Entropy, Vol 25, Iss 1, p 71 (2022)
Intraday stock time series are noisier and more complex than other financial time series with longer time horizons, which makes it challenging to predict. We propose a hybrid CEGH model for intraday stock market forecasting. The CEGH model contains f
Externí odkaz:
https://doaj.org/article/cca61bf9968c42ff9da80709c1b618b6
Autor:
Yijiao Liu
Publikováno v:
Highlights in Science, Engineering and Technology. 16:198-206
Natural language processing (NLP) is an interdisciplinary subject of linguistics and computer science, which processes the language used for human communication into a machine language that can be understood by machines.The task of information extrac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8558126075467c02e33edb16b26073e8
https://doi.org/10.54097/hset.v16i.2501
https://doi.org/10.54097/hset.v16i.2501
Publikováno v:
Mathematical Problems in Engineering. 2022:1-25
The objective of “low-carbon supply chain” and the development of e-commerce platforms (as e-platform) has boosted the production and sales of low-carbon products. Although the e-platform’s involvement promotes the efficiency of low-carbon prod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bf077705944877075a68ee08db319cd
https://doi.org/10.1155/2022/3595327
https://doi.org/10.1155/2022/3595327
Autor:
Radu Timofte, Shuhang Gu, Jiqing Wu, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Shijia Hu, Yijie Bei, Zheng Hui, Xiao Jiang, Yanan Gu, Jie Liu, Yifan Wang, Federico Perazzi, Brian McWilliams, Alexander Sorkine-Hornung, Olga Sorkine-Hornung, Christopher Schroers, Jiahui Yu, Yuchen Fan, Jianchao Yang, Ning Xu, Zhaowen Wang, Xinchao Wang, Thomas S. Huang, Xintao Wang, Ke Yu, Tak-Wai Hui, Chao Dong, Liang Lin, Chen Change Loy, Dongwon Park, Kwanyoung Kim, Se Young Chun, Kai Zhang, Pengjv Liu, Wangmeng Zuo, Shi Guo, Jiye Liu, Jinchang Xu, Yijiao Liu, Fengye Xiong, Yuan Dong, Hongliang Bai, Alexandru Damian, Nikhil Ravi, Sachit Menon, Cynthia Rudin, Junghoon Seo, Taegyun Jeon, Jamyoung Koo, Seunghyun Jeon, Soo Ye Kim, Jae-Seok Choi, Sehwan Ki, Soomin Seo, Hyeonjun Sim, Saehun Kim, Munchurl Kim, Rong Chen, Kun Zeng, Jinkang Guo, Yanyun Qu, Cuihua Li, Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn, Yuan Yuan, Jiawei Zhang, Jiahao Pang, Xiangyu Xu, Yan Zhao, Wei Deng, Sibt Ul Hussain, Muneeb Aadil, Rafia Rahim, Xiaowang Cai, Fang Huang, Yueshu Xu, Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu, Jun-Hyuk Kim, Jong-Seok Lee, Yiwen Huang, Ming Qiu, Liting Jing, Jiehang Zeng, Ying Wang, Manoj Sharma, Rudrabha Mukhopadhyay, Avinash Upadhyay, Sriharsha Koundinya, Ankit Shukla, Santanu Chaudhury, Zhe Zhang, Yu Hen Hu, Lingzhi Fu
Publikováno v:
CVPR Workshops
This paper reviews the 2nd NTIRE challenge on single image super-resolution (restoration of rich details in a low resolution image) with focus on proposed solutions and results. The challenge had 4 tracks. Track 1 employed the standard bicubic downsc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84c6886f489dceba6721a20afda21901
https://doi.org/10.1109/cvprw.2018.00130
https://doi.org/10.1109/cvprw.2018.00130