Cultivation mode of mechatronics professionals in higher vocational institutions under '1+X' certificate system

Autor: Wang Guoqiang, Yin Yuqin, Qian Zhi

Publikováno v: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)

The cosine similarity approach of the collaborative filtering customized recommendation algorithm is used in this work to first compute the trust degree among users. Next, it identifies the closest neighbor set for users as an addition to the similar

Externí odkaz: https://doaj.org/article/c1861a0959424292a7a3161572ebf1ae

Interplanetary Coronal Mass Ejections and Stream Interaction Regions observed by Tianwen-1 and Maven at Mars

Autor: Chi, Yutian, Shen, Chenglong, Cheng, Long, Yu, Bingkun, Miao, Bin, Wang, Yuming, Zhang, Tielong, Zou, Zhuxuan, Xu, Mengjiao, Pan, Zonghao, Su, Zhenpeng, Guo, Jingnan, Mao, Dongwei, Zhong, Zhihui, Zhang, Zhiyong, Liu, Junyan, Wang, Can, Wu, Zhiyong, Wang, Guoqiang, Xiao, Sudong, Liu, Kai, Hao, Xinjun, Li, Yiren, Chen, Manming, Du, Yang

Tianwen-1 spacecraft (Wan et al. 2020) is China's first Mars exploration mission. The Mars Orbiter Magnetometer (MOMAG) is a scientific instrument aboard the Tianwen-1 mission that is designed to study magnetic fields at Mars, including the solar win

Externí odkaz: http://arxiv.org/abs/2303.07078

The Mars Orbiter Magnetometer of Tianwen-1: In-flight Performance and First Science Results

Autor: Wang, Yuming, Zhang, Tielong, Wang, Guoqiang, Xiao, Sudong, Zou, Zhuxuan, Cheng, Long, Pan, Zonghao, Liu, Kai, Hao, Xinjun, Li, Yiren, Chen, Manming, Zhang, Zhoubin, Yan, Wei, Su, Zhenpeng, Wu, Zhiyong, Shen, Chenglong, Chi, Yutian, Xu, Mengjiao, Guo, Jingnan, Du, Yang

Mars Orbiter MAGnetometer (MOMAG) is a scientifc instrument onboard the orbiter of China's first mission for Mars -- Tianwen-1. It started to routinely measure the magnetic field from the solar wind to magnetic pile-up region surrounding Mars since N

Externí odkaz: http://arxiv.org/abs/2301.00677

A Roadmap for Big Model

Autor: Yuan, Sha, Zhao, Hanyu, Zhao, Shuai, Leng, Jiahong, Liang, Yangxiao, Wang, Xiaozhi, Yu, Jifan, Lv, Xin, Shao, Zhou, He, Jiaao, Lin, Yankai, Han, Xu, Liu, Zhenghao, Ding, Ning, Rao, Yongming, Gao, Yizhao, Zhang, Liang, Ding, Ming, Fang, Cong, Wang, Yisen, Long, Mingsheng, Zhang, Jing, Dong, Yinpeng, Pang, Tianyu, Cui, Peng, Huang, Lingxiao, Liang, Zheng, Shen, Huawei, Zhang, Hui, Zhang, Quanshi, Dong, Qingxiu, Tan, Zhixing, Wang, Mingxuan, Wang, Shuo, Zhou, Long, Li, Haoran, Bao, Junwei, Pan, Yingwei, Zhang, Weinan, Yu, Zhou, Yan, Rui, Shi, Chence, Xu, Minghao, Zhang, Zuobai, Wang, Guoqiang, Pan, Xiang, Li, Mengjie, Chu, Xiaoyu, Yao, Zijun, Zhu, Fangwei, Cao, Shulin, Xue, Weicheng, Ma, Zixuan, Zhang, Zhengyan, Hu, Shengding, Qin, Yujia, Xiao, Chaojun, Zeng, Zheni, Cui, Ganqu, Chen, Weize, Zhao, Weilin, Yao, Yuan, Li, Peng, Zheng, Wenzhao, Zhao, Wenliang, Wang, Ziyi, Zhang, Borui, Fei, Nanyi, Hu, Anwen, Ling, Zenan, Li, Haoyang, Cao, Boxi, Han, Xianpei, Zhan, Weidong, Chang, Baobao, Sun, Hao, Deng, Jiawen, Zheng, Chujie, Li, Juanzi, Hou, Lei, Cao, Xigang, Zhai, Jidong, Liu, Zhiyuan, Sun, Maosong, Lu, Jiwen, Lu, Zhiwu, Jin, Qin, Song, Ruihua, Wen, Ji-Rong, Lin, Zhouchen, Wang, Liwei, Su, Hang, Zhu, Jun, Sui, Zhifang, Zhang, Jiajun, Liu, Yang, He, Xiaodong, Huang, Minlie, Tang, Jian, Tang, Jie

With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm. Researchers have achieved various outcomes in the construction of BMs and the BM application in many fields. At present,

Externí odkaz: http://arxiv.org/abs/2203.14101

Simulation and analysis of high-pressure grinding rolls performance based on DEM-PRM

Autor: Guo, Jianbo, Wang, Shuai, Liu, Zhengbin, Wang, Guoqiang, Wu, Shuwei, Guan, Wei, Zhang, Haoyan

Publikováno v: In Minerals Engineering November 2024 218