This work is licensed under the Creative Commons Attribution 4.0 International License.
Al-Zamil, F. A. (2017). The Impact of Design Elements on the perception of spaciousness in Interior Design. International Design Journal, 7(2), 177-187.Search in Google Scholar
Lee, S., Alzoubi, H. H., & Kim, S. (2017). The effect of interior design elements and lighting layouts on prospective occupants’ perceptions of amenity and efficiency in living rooms. Sustainability, 9(7), 1119.Search in Google Scholar
Chuang, H. T., Liu, S. Y., & Liu, Y. C. (2022). An analysis of aesthetic evaluation on interior design works. National Taiwan University of Science and Technology, Technical Report.Search in Google Scholar
Mahmood, S. A. Q. (2021). Techniques of Optical Illusion and their Effect on Visual Dazzling in Contemporary Interior Design. International Design Journal, 11(2), 291-298.Search in Google Scholar
Bilgiç, D. E., & Şahin, E. B. (2021). Evaluation of Coffeehouse Spaces’ Interior Design Through Phenomenological and Ocular-Centered Methods. Avrupa Bilim ve Teknoloji Dergisi, (23), 769-780.Search in Google Scholar
Budakov, P. (2024). 3D-rendered images and their application in the interior design. In Encyclopedia of Computer Graphics and Games (pp. 62-70). Cham: Springer International Publishing.Search in Google Scholar
Tautkute, I., Trzciński, T., Skorupa, A. P., Brocki, Ł., & Marasek, K. (2019). Deepstyle: Multimodal search engine for fashion and interior design. IEEE Access, 7, 84613-84628.Search in Google Scholar
Chen, Y., Zhu, K., Zhu, L., He, X., Ghamisi, P., & Benediktsson, J. A. (2019). Automatic design of convolutional neural network for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 57(9), 7048-7066.Search in Google Scholar
Ritchie, D., Wang, K., & Lin, Y. A. (2019). Fast and flexible indoor scene synthesis via deep convolutional generative models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 6182-6190).Search in Google Scholar
Luo, Z., Sun, C., Dong, Q., & Qi, X. (2022). Key control variables affecting interior visual comfort for automated louver control in open-plan office--a study using machine learning. Building and Environment, 207, 108565.Search in Google Scholar
Zheng, Y. (2022). Visual memory neural network for artistic graphic design. Scientific Programming, 2022(1), 2243891.Search in Google Scholar
Saraee, E., Jalal, M., & Betke, M. (2020). Visual complexity analysis using deep intermediate-layer features. Computer Vision and Image Understanding, 195, 102949.Search in Google Scholar
Yoshimura, Y., Cai, B., Wang, Z., & Ratti, C. (2019). Deep learning architect: classification for architectural design through the eye of artificial intelligence. Computational Urban Planning and Management for Smart Cities 16, 249-265.Search in Google Scholar
Newton, D. (2019). Generative deep learning in architectural design. Technology| Architecture+ Design, 3(2), 176-189.Search in Google Scholar
Qian, W. (2018). Analysis of interior space design and visual artistic effect. In 2018 1St International Conference On Education, Art, Management And Social Sciences (EAMSS 2018). doi (Vol. 10).Search in Google Scholar
Zhang, Z., & Ban, J. (2022). Aesthetic evaluation of interior design based on visual features. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 13(2), 1-12.Search in Google Scholar
Demir, G., Çekmiş, A., Yeşilkaynak, V. B., & Unal, G. (2021). Detecting visual design principles in art and architecture through deep convolutional neural networks. Automation in Construction, 130, 103826.Search in Google Scholar
Santos, I., Castro, L., Rodriguez-Fernandez, N., Torrente-Patino, A., & Carballal, A. (2021). Artificial neural networks and deep learning in the visual arts: A review. Neural Computing and Applications, 33, 121-157.Search in Google Scholar
Gu, Y., Wang, Q., & Gu, W. (2023). The innovative application of visual communication design in modern art design. Electronics, 12(5), 1150.Search in Google Scholar
Bell, S., & Bala, K. (2015). Learning visual similarity for product design with convolutional neural networks. ACM transactions on graphics (TOG), 34(4), 1-10.Search in Google Scholar
Amira Benachour, Saïd Yahiaoui, Sarra Bouhenni, Hamamache Kheddouci & Nadia Nouali Taboudjemat .(2024). GPU-accelerated relaxed graph pattern matching algorithms. The Journal of Supercomputing(15), 21811-21836.Search in Google Scholar
Yuntao Yang,Qichen Wu,Ruipeng Yu,Li Wang,Yize Zhao,Cui Ding & Yunpeng Yin. (2024). Intelligent road extraction from high resolution remote sensing images based on optimized SVM. Journal of Radiation Research and Applied Sciences(4),101069-101069.Search in Google Scholar
Ankai Wei,Sheng Guan,Na Wang & Shangrong Lv. (2024). Damage detection of jacket platforms through improved stacked autoencoder and softmax classifier. Ocean Engineering118036-.Search in Google Scholar