Modeling the connection between oil painting creation and university students’ inspiration in the context of “Internet+”

[1]Baymetov, B. B., & Botirova, S. O. (2021). Theoretical foundations of coloring in the organization of fine arts classes. ACADEMICIA: An International Multidisciplinary Research Journal, 11(4), 775-782.Search in Google Scholar

[2]Hendriks, Laura, Hajdas, Irka, Ferreira, Ester S. B., Scherrer, Nadim C., Zumbuhl, Stefan, Kuffner, Markus, Wacker, Lukas, Synal, Hans-Arno, & Gunther, Detlef. (2018). COMBINED C-14 ANALYSIS OF CANVAS AND ORGANIC BINDER FOR DATING A PAINTING. Radiocarbon, 60(1).Search in Google Scholar

[3]Dutta, T., & Gupta, H. P. (2017). Leveraging Smart Devices for Automatic Mood-Transferring in Real-Time Oil Painting. IEEE Transactions on Industrial Electronics, 64(2), 1581-1588.Search in Google Scholar

[4]Cheng, W. H., Huang, H. L., & Chuang, M. H. (2019). Use of Passive SPME Sampling Devices to Determine Exposure of Oil Painters to Organic Compounds. Journal of the Air & Waste Management Association (1995), 70(3).Search in Google Scholar

[5]Saladino, M. L., Ridolfi, S., Carocci, I., et al. (2017). A multi-analytical non-invasive and micro-invasive approach to canvas oil paintings. General considerations from a specific case. Microchemical Journal, 133, 607-613.Search in Google Scholar

[6]Fovo, A. D., Striova, J., Pampaloni, E., et al. (2019). Rubens’ painting as inspiration of a later tapestry: Non-invasive analyses provide insight into artworks’ history. Microchemical Journal, 153.Search in Google Scholar

[7]Hendriks, L., Caseri, W., Ferreira, E., et al. (2020). The Ins and Outs of 14 C Dating Lead White Paint for Artworks Application. Analytical Chemistry, XXXX(XXX).Search in Google Scholar

[8]Shugrina, M., Jingwan, L. U., & Diverdi, S. (2017). Playful palette: an interactive parametric color mixer for artists. ACM Transactions on Graphics, 36(4CD), 1-10.Search in Google Scholar

[9]Chillè, C., Papadakis, V. M., & Theodorakopoulos, C. (2020). An analytical evaluation of Er:YAG laser cleaning tests on a nineteenth-century varnished painting. Microchemical Journal, 158(16), 105086.Search in Google Scholar

[10]Zhu, H. (2022). The optimization function of computer image technology in processing oil painting creation. Wireless Communications and Mobile Computing, 2022(2022).Search in Google Scholar

[11]Guo, H. Z., Liang, X. Y., & Yu, Y. (2022). Application of Big Data Technology and Visual Neural Network in Emotional Expression Analysis of Oil Painting Theme Creation in Public Environment. Journal of Environmental and Public Health, 2022(2022).Search in Google Scholar

[12]Jin, X. (2022). Analysis of Emotional Color Representation in Oil Painting Based on Deep Learning Model Evaluation. Wireless Communications and Mobile Computing, 2022(2022).Search in Google Scholar

[13]Xiang, J. (2022). DEPICTION AND PERFORMANCE ANALYSIS OF MELANCHOLY PSYCHOLOGY OF OIL PAINTING CHARACTERS. Psychiatria Danubina, 34(suppl 5), 28-28.Search in Google Scholar

[14]Tian, W. (2022). Emotional information transmission of color in image oil painting. Journal of Intelligent Systems, 31(1), 428-439.Search in Google Scholar

[15]Huang, H. (2020). Study on the Oil Painting Language Study of the Image of Lotus in Ancient Poems. Open Journal of Social Sciences, 8(11), 111.Search in Google Scholar

[16]Zhao, Y., Dinesh Jackson Samuel, R., & Manickam, A. (2022). Research on the application of computer image processing technology in painting creation. Journal of Interconnection Networks, 2022, 2147020.Search in Google Scholar

[17]Yang, G. (2021). The imagery and abstraction trend of Chinese contemporary oil painting. Linguistics and Culture Review, 5(S2), 454-471.Search in Google Scholar

[18]Gu, F., Zhang, W., Guo, J., et al. (2019). Exploring “Internet+ Recycling”: Mass balance and life cycle assessment of a waste management system associated with a mobile application. Science of the Total Environment, 649, 172-185.Search in Google Scholar

[19]Joshi, A. B., Kumar, D., Gaffar, A., et al. (2020). Triple color image encryption based on 2D multiple parameter fractional discrete Fourier transform and 3D Arnold transform. Optics and Lasers in Engineering, 133, 106139.Search in Google Scholar

[20]Li, Z., Meng, Z., Tian, F., et al. (2022). Fast Fourier transform-weighted photoacoustic imaging by in vivo magnetic alignment of hybrid nanorods. Nano Letters, 22(13), 5158-5166.Search in Google Scholar

[21]Werthmüller, Dieter, Mulder, W. A., & Slob, E. C. (2021). Fast Fourier Transform of electromagnetic data for computationally expensive kernels. Geophysical Journal International, 2.Search in Google Scholar

[22]Changela, A., Zaveri, M., & Verma, D. (2020). FPGA implementation of high-performance, resource-efficient Radix-16 CORDIC rotator based FFT algorithm. Integration, 73, 89-100.Search in Google Scholar

[23]Jia, J., Si, J., & Chu, D. (2018). Fast two-step layer-based method for computer-generated hologram using sub-sparse 2D fast Fourier transform. Optics Express, 26(13), 17487-17497.Search in Google Scholar

[24]Niu, M., Lin, Y., & Zou, Q. (2021). sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks. Plant Molecular Biology, 105(4), 483-495.Search in Google Scholar

[25]Wang, R., Chen, H., & Guan, C. (2021). Random convolutional neural network structure: An intelligent health monitoring scheme for diesel engines. Measurement, 171, 108786.Search in Google Scholar