Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kaiyuan Qu"'
Autor:
Zhihai Wang, Mingming Yang, Kaiyuan Qu, Xinyu Mao, Anqi Lu, Yi Sheng, Daniel T.P. Fong, Dan Wang
Publikováno v:
iScience, Vol 27, Iss 8, Pp 110543- (2024)
Summary: This study investigated whether lower extremity stiffness plays a role in the enhancement of change of direction speed (CODS) and the duration of this enhancement after dynamic loaded warm-up (DLWU). Fifteen badminton athletes underwent DLWU
Externí odkaz:
https://doaj.org/article/28af0f268bfd4766a3f46c7ce0403d28
Publikováno v:
IEEE Access, Vol 11, Pp 88329-88338 (2023)
The existing deep knowledge tracking models ignore the students’ behavior features and the high-order relationship between and questions with overlapping skills in the learning process. As a result, the models cannot learn the complete learning tra
Externí odkaz:
https://doaj.org/article/57a4a3df4087426b836a8da262cda90b
Publikováno v:
IEEE Access, Vol 10, Pp 104914-104922 (2022)
CTR prediction is an important task in recommender systems, which is used to estimate the likelihood of a user clicking on an advertisement.In the past, the CTR prediction model based on the deep neural network mainly obtains the implicit feature com
Externí odkaz:
https://doaj.org/article/52dd92a9ecf549f3be3c918df1953289
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4226 (2023)
Question difficulty and student ability are important factors that affect students’ correct answers. Because existing knowledge-tracking models fail to consider these factors, they cannot accurately predict the results of students’ answers. In or
Externí odkaz:
https://doaj.org/article/664c3360994647058e5a1bd2e99d91ff
Publikováno v:
Sensors, Vol 22, Iss 24, p 9691 (2022)
Click-through rate prediction is a critical task for computational advertising and recommendation systems, where the key challenge is to model feature interactions between different feature domains. At present, the main click-through rate prediction
Externí odkaz:
https://doaj.org/article/4c6f778249ac4eb1b7bceb430eb36c3b
Abundant evidence proved that the amount of habitual exercise and the level of cardiorespiratory fitness (CRF) are inversely related to the risk of cardiovascular morbidity and mortality. In this chapter, you can learn about the cardiorespiratory ben
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58c52eaf42412d798042623086ef2eca
https://doi.org/10.5772/intechopen.107360
https://doi.org/10.5772/intechopen.107360
Publikováno v:
2022 7th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA).
Publikováno v:
2022 the 6th International Conference on Innovation in Artificial Intelligence (ICIAI).