Otwarty dostęp

Application of Deep Neural Network and Human-Computer Interaction Technology Based on Multimodal Perception in Art Design


Zacytuj

Wozniak, M., Poap, D., Damasevicius, R., & Wei, W. (2018). Design of computational intelligence-based language interface for human-machine secure interaction. Journal of Universal Computer Science, 24(4). Search in Google Scholar

Shapiro, L. A., & Shapiro, A. E. (2021). Implementing brazing alloy design with man-machine interaction. Welding Journal(9), 100. Search in Google Scholar

Cao, W. (2019). Application of support vector machine algorithm based gesture recognition technology in human-computer interaction. Informatica(1). Search in Google Scholar

Xiaoqing, S., Wenshu, L., Zhipeng, Z., Xin, G., & Hongtu, B. (2017). Intelligent maintenance alarm system design of transformer substation based on things oriented architecture. Electrical Engineering. Search in Google Scholar

Molek, V., & Perfilieva, I. (2020). Deep learning and higher degree f-transforms: interpretable kernels before and after learning. International Journal of Computational Intelligence Systems, 13(1). Search in Google Scholar

Zhu, T., & Zhang, F. (2020). Design of marine two-way voice communication system based on human-computer interaction. Journal of Coastal Research, 95(sp1), 1389. Search in Google Scholar

Gielen, & Pascal. (2017). Artistic constitutions of the civil domain: on art, education and democracy. International Journal of Art & Design Education, 36(2), 134-140. Search in Google Scholar

Astuti, M., & Thea, D. (2020). Dandy’s steak and coffee house mural design. Solid State Technology, 63(4), 5262. Search in Google Scholar

Xiao, Y. (2021). Research on visual image texture rendering for artistic aided design. Scientific Programming. Search in Google Scholar

eISSN:
2444-8656
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics