Zobrazeno 1 - 10
of 3 022
pro vyhledávání: '"CHEN Xingyu"'
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 9, Pp 1496-1501 (2024)
AIM:To observe the different effects of three intervention approaches on related biometric parameters in children diagnosed with latent myopia, and to investigate different control effects on children with latent myopia.METHODS:Prospective cohort con
Externí odkaz:
https://doaj.org/article/09071b90f1a14aeaa89740cca9fa3dc2
Autor:
LI Wei, LIANG Riran, YANG Lingni, ZHAO Panpan, CHEN Xingyu, MAO Haijun, LIU Zhuofeng, BAI Shuxin, ZHANG Weijun
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 8, Pp 12-22 (2023)
Owing to the feature of ultrahigh power density, the dielectric capacitors play an increasingly important role in the field of industrial production, basic scientific research, aerospace, and military industry in recent years. However, the relatively
Externí odkaz:
https://doaj.org/article/18f88a4e85854d3887252d333aee0463
Autor:
Bi Ruomeng, Ou Meihao, Zhou Siru, Geng Shichen, Zheng Yixian, Chen Junhong, Mo Ruijie, Li Yuan, Xiao Gezhi, Chen Xingyu, Zhai Shiyi, Zhang Aihui, Fang Baishan
Publikováno v:
Synthetic and Systems Biotechnology, Vol 8, Iss 2, Pp 302-313 (2023)
The past 50 years have witnessed a massive expansion in the demand and application of pesticides. However, pesticides are difficult to be completely degraded without intervention hence the pesticide residue could pose a persistent threat to non-targe
Externí odkaz:
https://doaj.org/article/a89eeed8ed3841238f9f275d913b1ad7
Publikováno v:
Dizhi lixue xuebao, Vol 29, Iss 2, Pp 202-219 (2023)
This study aims to evaluate landslide susceptibility and explain the internal mechanism of gentle hill-valley through SHAP partial interpretation and PDP partial dependency map based on the random forest-recursive feature elimination model to provide
Externí odkaz:
https://doaj.org/article/03d07570054041b1b699cb88fb4a67fc
Publikováno v:
Open Geosciences, Vol 15, Iss 1, Pp 1-5 (2023)
The archaeological site prediction model can accurately identify archaeological site areas to enable better knowledge and understanding of human civilization processes and social development patterns. A total of 129 Neolithic site data in the region
Externí odkaz:
https://doaj.org/article/dde95471c85a492a8b94d051d98c456b
Autor:
Ren, Tianhe, Chen, Yihao, Jiang, Qing, Zeng, Zhaoyang, Xiong, Yuda, Liu, Wenlong, Ma, Zhengyu, Shen, Junyi, Gao, Yuan, Jiang, Xiaoke, Chen, Xingyu, Song, Zhuheng, Zhang, Yuhong, Huang, Hongjie, Gao, Han, Liu, Shilong, Zhang, Hao, Li, Feng, Yu, Kent, Zhang, Lei
In this paper, we introduce DINO-X, which is a unified object-centric vision model developed by IDEA Research with the best open-world object detection performance to date. DINO-X employs the same Transformer-based encoder-decoder architecture as Gro
Externí odkaz:
http://arxiv.org/abs/2411.14347
Decision Transformer (DT) can learn effective policy from offline datasets by converting the offline reinforcement learning (RL) into a supervised sequence modeling task, where the trajectory elements are generated auto-regressively conditioned on th
Externí odkaz:
http://arxiv.org/abs/2411.11327
Autor:
Ni, Ziqi, Li, Yahao, Hu, Kaijia, Han, Kunyuan, Xu, Ming, Chen, Xingyu, Liu, Fengqi, Ye, Yicong, Bai, Shuxin
The rapid evolution of artificial intelligence, particularly large language models, presents unprecedented opportunities for materials science research. We proposed and developed an AI materials scientist named MatPilot, which has shown encouraging a
Externí odkaz:
http://arxiv.org/abs/2411.08063
Autor:
Zhao, Binglei, Wang, Han, Tang, Jian, Ma, Chengzhong, Zhang, Hanbo, Zhang, Jiayuan, Lan, Xuguang, Chen, Xingyu
Grasping has been a crucial but challenging problem in robotics for many years. One of the most important challenges is how to make grasping generalizable and robust to novel objects as well as grippers in unstructured environments. We present \regne
Externí odkaz:
http://arxiv.org/abs/2410.09431
Autor:
Lin, Yunzhi, Zhao, Yipu, Chu, Fu-Jen, Chen, Xingyu, Wang, Weiyao, Tang, Hao, Vela, Patricio A., Feiszli, Matt, Liang, Kevin
To address the challenge of short-term object pose tracking in dynamic environments with monocular RGB input, we introduce a large-scale synthetic dataset OmniPose6D, crafted to mirror the diversity of real-world conditions. We additionally present a
Externí odkaz:
http://arxiv.org/abs/2410.06694