Zobrazeno 1 - 10
of 1 253
pro vyhledávání: '"Chen Zhiyi"'
Publikováno v:
Medical Review, Vol 3, Iss 6, Pp 465-486 (2023)
Compound-protein interactions (CPIs) are critical in drug discovery for identifying therapeutic targets, drug side effects, and repurposing existing drugs. Machine learning (ML) algorithms have emerged as powerful tools for CPI prediction, offering n
Externí odkaz:
https://doaj.org/article/34476ba264db450c914bec8ddd8c46c8
Publikováno v:
陆军军医大学学报, Vol 45, Iss 13, Pp 1450-1455 (2023)
Objective To construct a theoretical model for cognitive domain information transmission (COIT) to promote the establishment of an attack and defense system for COIT, and further to validate it by simulating data in mathematical model. Methods A hub-
Externí odkaz:
https://doaj.org/article/f3405a3284614b959979a50b208cffad
This paper presents a modeling-control synthesis to address the quality control challenges in multistage manufacturing systems (MMSs). A new feedforward control scheme is developed to minimize the quality variations caused by process disturbances in
Externí odkaz:
http://arxiv.org/abs/2407.16933
Autor:
He, Xu, Huang, Qiaochu, Zhang, Zhensong, Lin, Zhiwei, Wu, Zhiyong, Yang, Sicheng, Li, Minglei, Chen, Zhiyi, Xu, Songcen, Wu, Xiaofei
Co-speech gestures, if presented in the lively form of videos, can achieve superior visual effects in human-machine interaction. While previous works mostly generate structural human skeletons, resulting in the omission of appearance information, we
Externí odkaz:
http://arxiv.org/abs/2404.01862
Publikováno v:
MATEC Web of Conferences, Vol 355, p 01009 (2022)
Droplets impacting and penetration into porous media is commonly seen in natural and engineering processes, in which the kinetics and capillary effect are of great importance to the lateral spreading and vertical penetration. In this study, a three-d
Externí odkaz:
https://doaj.org/article/71ba9d70504648b59a4203c4cfc32129
Autor:
Chen, Zhiyi, Maske, Harshal, Shui, Huanyi, Upadhyay, Devesh, Hopka, Michael, Cohen, Joseph, Lai, Xingjian, Huan, Xun, Ni, Jun
Publikováno v:
Journal of Manufacturing Systems 71 (2023) 609-619
The modeling of multistage manufacturing systems (MMSs) has attracted increased attention from both academia and industry. Recent advancements in deep learning methods provide an opportunity to accomplish this task with reduced cost and expertise. Th
Externí odkaz:
http://arxiv.org/abs/2309.10193
Publikováno v:
E3S Web of Conferences, Vol 308, p 02025 (2021)
We calculated the area of seven ecosystems, used the NDVI index to analyze the temporal-change of vegetation-covered land in the Qinghai Lake basin from 2004 to 2019, and the principal component analysis to analyze the driving mechanism of desertific
Externí odkaz:
https://doaj.org/article/32027466a8d44614b66b6b34578c560e
Publikováno v:
ACM SIGMOD 2023
Data preprocessing is a crucial step in the machine learning process that transforms raw data into a more usable format for downstream ML models. However, it can be costly and time-consuming, often requiring the expertise of domain experts. Existing
Externí odkaz:
http://arxiv.org/abs/2308.10915
Autor:
Chen, Kongfa, Yang, Haoran, Chen, Zhiyi, Huang, Jiongyuan, Qian, Jiaqi, Yue, Zhongwei, Zhang, Lan, Guan, Chengzhi, Wang, Xin, Shao, Yanqun, Jiang, San Ping, Ai, Na
Publikováno v:
In Ceramics International 15 November 2024 50(22) Part B:46822-46830
Publikováno v:
In Acta Biomaterialia November 2024 189:519-531