Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yepeng Chen"'
Publikováno v:
IEEE Access, Vol 7, Pp 155650-155658 (2019)
This paper explores how the sequence of positive or negative comments and the degree of product involvement affect the purchase intention of consumers through a $2\times 2$ experiment. The results demonstrated that the sequence of positive or negativ
Externí odkaz:
https://doaj.org/article/30410f7794dc4f78a3667ee4bce41bd4
Publikováno v:
Social Behavior and Personality: an international journal. 49:1-10
We explored the impact of admiration of others regarding their morality, positive attitude, and skills on the fatigue of social media users through the mediators of social media loneliness and social media anxiety. We collected data for analysis from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67b67771935ff43c68eba5610e35fd4a
https://doi.org/10.2224/sbp.10058
https://doi.org/10.2224/sbp.10058
Publikováno v:
Current Psychology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a63147e5d5a878f0f9f5026d9c79e029
https://doi.org/10.1007/s12144-022-02904-7
https://doi.org/10.1007/s12144-022-02904-7
Autor:
Yepeng Cheng, Yasuhiko Morimoto
Publikováno v:
IEEE Access, Vol 9, Pp 29165-29179 (2021)
The attention-based SeriesNet (A-SeriesNet) combined augmented attention residual learning module-based convolutional neural network (augmented ARLM-CNN) subnetwork with hidden state attention module-based recurrent neural network (HSAM-RNN) subnetwo
Externí odkaz:
https://doaj.org/article/da75362e51c14e77bd147d439c196563
Publikováno v:
Information, Vol 11, Iss 6, p 305 (2020)
Traditional time series forecasting techniques can not extract good enough sequence data features, and their accuracies are limited. The deep learning structure SeriesNet is an advanced method, which adopts hybrid neural networks, including dilated c
Externí odkaz:
https://doaj.org/article/5d050a046bd04855a1047bdece664c34