Zobrazeno 1 - 10
of 1 334
pro vyhledávání: '"CHEN Ziyi"'
Publikováno v:
Polish Journal of Chemical Technology, Vol 26, Iss 3, Pp 51-55 (2024)
Nano-ZnO/transition metal composites (NZTC) were prepared via sol-gel method where transition metal (Cu2+, Ag+, Co2+ and Ni2+) and ZnSO4 were used as the substrate. NZTC was characterized using scanning electronic microscope (SEM), ultraviolet-visibl
Externí odkaz:
https://doaj.org/article/ae18a14e01b646bea161996bb3cbfb76
Autor:
ZHANG Sihan, ZHAO Jiechen, ZOU Wenfeng, WU Jie, WANG Yingzheng, CHEN Ziyi, ZHAO Dinglong, MU Fangru
Publikováno v:
Haiyang Kaifa yu guanli, Vol 41, Iss 6, Pp 3-14 (2024)
Based on the CICE sea ice model and the PDAF parallel data assimilation framework, this paper uses the local error subspace transform Kalman filter method (LESTKF) to assimilate the sea ice concentration, sea ice thickness and sea ice freeboard data
Externí odkaz:
https://doaj.org/article/9e0701271c3d46b690de8e9d5f3fc239
Toward automated hail disaster weather recognition based on spatio-temporal sequence of radar images
Publikováno v:
Demonstratio Mathematica, Vol 57, Iss 1, Pp 104747-970 (2024)
Hail, an intense convective catastrophic weather, is seriously hazardous to people’s lives and properties. This article proposes a multi-step cyclone hail weather recognition model, called long short-term memory (LSTM)-C3D, based on radar images, i
Externí odkaz:
https://doaj.org/article/6be0b18308b240f3bf93ebbb629f4cd8
Vision-Language Models (VLMs) have shown promising capabilities in handling various multimodal tasks, yet they struggle in long-context scenarios, particularly in tasks involving videos, high-resolution images, or lengthy image-text documents. In our
Externí odkaz:
http://arxiv.org/abs/2412.09616
Autor:
Lyu, Mengxian, Peng, Cheng, Paredes, Daniel, Chen, Ziyi, Chen, Aokun, Bian, Jiang, Wu, Yonghui
Publikováno v:
BIONLP 2024 and Shared Tasks @ ACL 2024
Automatic generation of discharge summaries presents significant challenges due to the length of clinical documentation, the dispersed nature of patient information, and the diverse terminology used in healthcare. This paper presents a hybrid solutio
Externí odkaz:
http://arxiv.org/abs/2407.15359
Autor:
Ren Jingjie, Yang Feiyang, Wang Meiling, Gou Zhaolin, Chen Ziyi, Hu Xinrong, Zhang Cunzhong, Yao Ying
Publikováno v:
E3S Web of Conferences, Vol 406, p 01033 (2023)
With the increase of waste lithium-ion batteries (WLIBs), the recycling of WLIBs has been paid more attention. Lithium metal battery (LMB) has extremely high theoretical specific capacity. However, the decline of cycle performance and the danger of s
Externí odkaz:
https://doaj.org/article/a29484009987476e81470389fcb29235
Autor:
Chen Ziyi
Publikováno v:
SHS Web of Conferences, Vol 168, p 03021 (2023)
This paper analyses the National Education Policy 2020 (pages 1-32), the official policy document issued by the Ministry of Human Resource Development (India). This paper is written in light of five peda-gogical theories: a). Human Capital; b). Tradi
Externí odkaz:
https://doaj.org/article/a09315793d2c4bd99cba8b26f7ea34ad
Autor:
Anastassiou, Philip, Chen, Jiawei, Chen, Jitong, Chen, Yuanzhe, Chen, Zhuo, Chen, Ziyi, Cong, Jian, Deng, Lelai, Ding, Chuang, Gao, Lu, Gong, Mingqing, Huang, Peisong, Huang, Qingqing, Huang, Zhiying, Huo, Yuanyuan, Jia, Dongya, Li, Chumin, Li, Feiya, Li, Hui, Li, Jiaxin, Li, Xiaoyang, Li, Xingxing, Liu, Lin, Liu, Shouda, Liu, Sichao, Liu, Xudong, Liu, Yuchen, Liu, Zhengxi, Lu, Lu, Pan, Junjie, Wang, Xin, Wang, Yuping, Wang, Yuxuan, Wei, Zhen, Wu, Jian, Yao, Chao, Yang, Yifeng, Yi, Yuanhao, Zhang, Junteng, Zhang, Qidi, Zhang, Shuo, Zhang, Wenjie, Zhang, Yang, Zhao, Zilin, Zhong, Dejian, Zhuang, Xiaobin
We introduce Seed-TTS, a family of large-scale autoregressive text-to-speech (TTS) models capable of generating speech that is virtually indistinguishable from human speech. Seed-TTS serves as a foundation model for speech generation and excels in sp
Externí odkaz:
http://arxiv.org/abs/2406.02430
State-of-the-art neural implicit surface representations have achieved impressive results in indoor scene reconstruction by incorporating monocular geometric priors as additional supervision. However, we have observed that multi-view inconsistency be
Externí odkaz:
http://arxiv.org/abs/2405.00340
Robotics learning highly relies on human expertise and efforts, such as demonstrations, design of reward functions in reinforcement learning, performance evaluation using human feedback, etc. However, reliance on human assistance can lead to expensiv
Externí odkaz:
http://arxiv.org/abs/2403.15834