Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Ohbyung Kwon"'
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
IntroductionThe purpose of this study is to provide an overview of extant research regarding XR technology and its effect on consumer wellbeing. With the hopes of informing marketing practitioners on XR consumer psychology, in preparation for the Met
Externí odkaz:
https://doaj.org/article/5c5c650206144f978b7e4be1935daa8d
Impact of chart image characteristics on stock price prediction with a convolutional neural network.
Autor:
Guangxun Jin, Ohbyung Kwon
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0253121 (2021)
Stock price prediction has long been the subject of research because of the importance of accuracy of prediction and the difficulty in forecasting. Traditionally, forecasting has involved linear models such as AR and MR or nonlinear models such as AN
Externí odkaz:
https://doaj.org/article/16261ef392e24660be94f1a554572d09
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
A novel activity recognition method is proposed based on acoustic information acquired from microphones in an unobtrusive and privacy-preserving manner. Behavior detection mechanisms may be useful in context-aware domains in everyday life, but they m
Externí odkaz:
https://doaj.org/article/0bb8fb2237384c2399434293fc8e448e
Autor:
Kyunghwa Hwang1, Ohbyung Kwon1
Publikováno v:
International Journal of Mobile Communications. 2024, Vol. 24 Issue 4, p374-400. 27p.
Publikováno v:
Frontiers in Psychology; 2024, p1-14, 14p
The effects of individual and organizational interventions on space tourism: applying EMGB and fsQCA
Publikováno v:
Current Issues in Tourism. 26:1389-1393
Autor:
Hoejung Kim, Ohbyung Kwon
Publikováno v:
The Journal of Society for e-Business Studies. 28:55-76
Publikováno v:
Korean Business Education Review. 37:233-257
Publikováno v:
European Journal of Information Systems. 30:342-355
During the COVID-19 pandemic, social media platforms such as Twitter, Facebook, etc. have played an important role in conveying information, both accurate and inaccurate, thereby creating mass conf...
Publikováno v:
International Journal of Retail & Distribution Management. 49:61-80
PurposeThis study examines consumers' evaluations of product consumption values, purchase intentions and willingness to pay for fashion products designed using generative adversarial network (GAN), an artificial intelligence technology. This research