Cai, D., & Huai, Y. (2018). Application of interactive forestry science popularisation based on enhanced experience. Ippta: Quarterly Journal Of Indian Pulp And Paper Technical Association, 30, 190-196. Recuperado de https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057204231&partnerID=40&md5=e30fbe3affdff7452b7e7a36286ae067
D. Cai Y. HuaiApplication Art of Flower Arrangement Augmented reality Chinese Dimensions Displaying Enhanced Experience Forestry Forestry Science Popularisation Forestry science Image enhancement Interactive applications Interactive applications Research Science Technology Three Dimensional Images Three dimensional computer graphics Three dimensional images timber
Ver
Chen, X., Chen, Z., Xiao, L., & Zhou, M. (2022). A Novel Sentiment Analysis Model of Museum User Experience Evaluation Data Based on Unbalanced Data Analysis Technology. Computational Intelligence And Neuroscience, 2022. https://doi.org/10.1155/2022/2096634 (Original work published apr)
Xiang Chen Zhiwei Chen Lei Xiao Ming ZhouClassification (of information) Cultural heritages Data Analysis Digital museums Digital reconstruction museums sentiment analysis sentiment analysis Support vector Support vector machines Support vectors machine Technology Unbalanced data Unbalanced support User evaluations User experience evaluations Users experiences Vectors Virtual reality Virtual reality article Data Analysis human human experiment information center Inheritance reference value Satisfaction sentiment analysis support vector machine
Ver