Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Fang, Pengjun"'
Autor:
Chi, Xiaowei, Wang, Yatian, Cheng, Aosong, Fang, Pengjun, Tian, Zeyue, He, Yingqing, Liu, Zhaoyang, Qi, Xingqun, Pan, Jiahao, Zhang, Rongyu, Li, Mengfei, Yuan, Ruibin, Jiang, Yanbing, Xue, Wei, Luo, Wenhan, Chen, Qifeng, Zhang, Shanghang, Liu, Qifeng, Guo, Yike
Massive multi-modality datasets play a significant role in facilitating the success of large video-language models. However, current video-language datasets primarily provide text descriptions for visual frames, considering audio to be weakly related
Externí odkaz:
http://arxiv.org/abs/2407.20962
Publikováno v:
In Particuology June 2020 50:43-52
Publikováno v:
In Vacuum November 2018 157:354-360
Publikováno v:
Rare Metal Materials and Engineering. 47:423-430
Nickel-based superalloy powders have been produced by high pressure argon gas and nitrogen gas atomization, separately. The microstructural characterization of nickel-based alloy powders has been performed by a scanning electron microscope equipped w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76390785b67cea011e232e24863b46b3
https://doi.org/10.1016/s1875-5372(18)30082-1
https://doi.org/10.1016/s1875-5372(18)30082-1
Develop Academic Question Recommender Based on Bayesian Network for Personalizing Student’s Practice
Publikováno v:
International Journal of Emerging Technologies in Learning (iJET), Vol 15, Iss 18, Pp 4-19 (2020)
Study in Literatures shows that tracing knowledge state of student is corner stone of intelligent tutoring system for personalized learning. In this paper, an academic question recommender based on Bayesian network is developed for personalizing prac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::423375db2bc6ff7ce2c5e4a08e0a358e
https://doi.org/10.3991/ijet.v15i18.11594
https://doi.org/10.3991/ijet.v15i18.11594
Akademický článek
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