Graph-Driven Models for Gas Mixture Identification and Concentration Estimation on Heterogeneous Sensor Array Signals

Autor: Wang, Ding, Wang, Lei, Yin, Huilin, Gu, Guoqing, Lin, Zhiping, Zhang, Wenwen

Accurately identifying gas mixtures and estimating their concentrations are crucial across various industrial applications using gas sensor arrays. However, existing models face challenges in generalizing across heterogeneous datasets, which limits t

Externí odkaz: http://arxiv.org/abs/2412.13891

Efficacy of Temporal Interference Electrical Stimulation for Spinal Cord Injury Rehabilitation: A Case Series

Autor: Cheng, Ruidong, Shao, Yuling, Li, Xi, Zhang, Li, Sheng, Zehao, Li, Chenyang, Xie, Xu, Mou, Huilin, Chen, Weidong, Zhang, Shaomin, Xu, Yuchen, Wang, Minmin

Spinal cord injury (SCI) is a debilitating condition that often results in significant motor and sensory deficits, impacting the quality of life. Current rehabilitation methods, including physical therapy and electrical stimulation, offer variable ou

Externí odkaz: http://arxiv.org/abs/2412.12229

Advancing Electrochemical CO$_2$ Capture with Redox-Active Metal-Organic Frameworks

Autor: Vetik, Iuliia, Žoglo, Nikita, Kosimov, Akmal, Cepitis, Ritums, Krasnenko, Veera, Qing, Huilin, Chandra, Priyanshu, Mirica, Katherine, Rizo, Ruben, Herrero, Enrique, Solla-Gullón, Jose, Trisukhon, Teedhat, Gittins, Jamie W., Forse, Alexander C., Grozovski, Vitali, Kongi, Nadezda, Ivaništšev, Vladislav

Addressing climate change calls for action to control CO$_2$ pollution. Direct air and ocean capture offer a solution to this challenge. Making carbon capture competitive with alternatives, such as forestation and mineralisation, requires fundamental

Externí odkaz: http://arxiv.org/abs/2411.16444

One-to-one correspondence reconstruction at the electron-positron Higgs factory

Autor: Wang, Yuexin, Liang, Hao, Zhu, Yongfeng, Che, Yuzhi, Xia, Xin, Qu, Huilin, Zhou, Chen, Zhuang, Xuai, Ruan, Manqi

We propose one-to-one correspondence reconstruction for electron-positron Higgs factories. For each visible particle, one-to-one correspondence aims to associate relevant detector hits with only one reconstructed particle and accurately identify its

Externí odkaz: http://arxiv.org/abs/2411.06939

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

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