Zobrazeno 1 - 10
of 1 709
pro vyhledávání: '"DING Yao"'
Publikováno v:
Defence Technology, Vol 23, Iss , Pp 164-176 (2023)
With limited number of labeled samples, hyperspectral image (HSI) classification is a difficult Problem in current research. The graph neural network (GNN) has emerged as an approach to semi-supervised classification, and the application of GNN to hy
Externí odkaz:
https://doaj.org/article/3bc3da209aa045c881078b21e6fbb12a
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 23, Iss 03, Pp 161-166 (2023)
7T ultra⁃high field MRI (7T MRI), with its high resolution, high signal⁃to⁃noise ratio (SNR) and high contrast, is superior to conventional field intensity MRI in clinical applications such as diagnosis of hippocampal sclerosis (HS) and focal c
Externí odkaz:
https://doaj.org/article/fe71b82999b54331ac27f2849a23f081
Autor:
LI Jun, Ding Yao, Zhang Yong, Liu Zhanshu, Zailin Yang, Yang Zailiang, Liu Tingting, Xiaomei Zhang, Yi Liu, Tang Yifeng, Huihui Fu, Sanxiu He, Yao Liu
Publikováno v:
HemaSphere, Vol 7, p e605044c (2023)
Externí odkaz:
https://doaj.org/article/8be419c99b2e4fd68d5c332b759af057
Publikováno v:
Case Studies in Construction Materials, Vol 18, Iss , Pp e01773- (2023)
Asphalt mixture was a granular material, and traditional mechanical testing methods were difficult to reveal the failure mechanism. To evaluate the micromechanical behavior of asphalt mixture in the failure process, the DEM (Discrete Element Method)
Externí odkaz:
https://doaj.org/article/9dbf12baa6fb4ebbba5325c1b373769d
Publikováno v:
E3S Web of Conferences, Vol 478, p 01006 (2024)
Sewage is the carrier of resources and energy, which contains great chemical energy and heat energy. The traditional sewage treatment process consumes energy, and the energy consumption is high. Under the background of carbon neutrality, China’s ur
Externí odkaz:
https://doaj.org/article/e0f14b97eb464b48bff16199724ef700
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Tropical cyclone (TC)-induced coastal flooding can lead to severe hazards in low-lying lands and is expected to be exacerbated by sea level rise and TC climatology changes related to the warming climate. Since the dense population in Xiamen Bay, Fuji
Externí odkaz:
https://doaj.org/article/f5ddb21d28984ea3a692bd4e05621cdd
Publikováno v:
Cailiao gongcheng, Vol 49, Iss 12, Pp 156-163 (2021)
The effects of melt flow on the orientation evolution, residual stress and mechanical properties of thermoplastic polyurethane (TPU) during injection molding were studied by birefringence, small angle X-ray scattering (SAXS) and wide angle X-ray scat
Externí odkaz:
https://doaj.org/article/c4f08e672c944539ab7f6dfd4a33eb0b
Autor:
Liu, Jingming, Li, Yumeng, Xiao, Boyuan, Jian, Yichang, Qin, Ziang, Shao, Tianjia, Ding, Yao-Xiang, Zhou, Kun
There have been recent efforts to extend the Chain-of-Thought (CoT) paradigm to Multimodal Large Language Models (MLLMs) by finding visual clues in the input scene, advancing the visual reasoning ability of MLLMs. However, current approaches are spec
Externí odkaz:
http://arxiv.org/abs/2411.18142
Autor:
Sun, Xingwu, Chen, Yanfeng, Huang, Yiqing, Xie, Ruobing, Zhu, Jiaqi, Zhang, Kai, Li, Shuaipeng, Yang, Zhen, Han, Jonny, Shu, Xiaobo, Bu, Jiahao, Chen, Zhongzhi, Huang, Xuemeng, Lian, Fengzong, Yang, Saiyong, Yan, Jianfeng, Zeng, Yuyuan, Ren, Xiaoqin, Yu, Chao, Wu, Lulu, Mao, Yue, Xia, Jun, Yang, Tao, Zheng, Suncong, Wu, Kan, Jiao, Dian, Xue, Jinbao, Zhang, Xipeng, Wu, Decheng, Liu, Kai, Wu, Dengpeng, Xu, Guanghui, Chen, Shaohua, Chen, Shuang, Feng, Xiao, Hong, Yigeng, Zheng, Junqiang, Xu, Chengcheng, Li, Zongwei, Kuang, Xiong, Hu, Jianglu, Chen, Yiqi, Deng, Yuchi, Li, Guiyang, Liu, Ao, Zhang, Chenchen, Hu, Shihui, Zhao, Zilong, Wu, Zifan, Ding, Yao, Wang, Weichao, Liu, Han, Wang, Roberts, Fei, Hao, Yu, Peijie, Zhao, Ze, Cao, Xun, Wang, Hai, Xiang, Fusheng, Huang, Mengyuan, Xiong, Zhiyuan, Hu, Bin, Hou, Xuebin, Jiang, Lei, Ma, Jianqiang, Wu, Jiajia, Deng, Yaping, Shen, Yi, Wang, Qian, Liu, Weijie, Liu, Jie, Chen, Meng, Dong, Liang, Jia, Weiwen, Chen, Hu, Liu, Feifei, Yuan, Rui, Xu, Huilin, Yan, Zhenxiang, Cao, Tengfei, Hu, Zhichao, Feng, Xinhua, Du, Dong, Yu, Tinghao, Tao, Yangyu, Zhang, Feng, Zhu, Jianchen, Xu, Chengzhong, Li, Xirui, Zha, Chong, Ouyang, Wen, Xia, Yinben, Li, Xiang, He, Zekun, Chen, Rongpeng, Song, Jiawei, Chen, Ruibin, Jiang, Fan, Zhao, Chongqing, Wang, Bo, Gong, Hao, Gan, Rong, Hu, Winston, Kang, Zhanhui, Yang, Yong, Liu, Yuhong, Wang, Di, Jiang, Jie
In this paper, we introduce Hunyuan-Large, which is currently the largest open-source Transformer-based mixture of experts model, with a total of 389 billion parameters and 52 billion activation parameters, capable of handling up to 256K tokens. We c
Externí odkaz:
http://arxiv.org/abs/2411.02265
Reinforcement Learning (RL) empowers agents to acquire various skills by learning from reward signals. Unfortunately, designing high-quality instance-level rewards often demands significant effort. An emerging alternative, RL with delayed reward, foc
Externí odkaz:
http://arxiv.org/abs/2410.20176