Intelligent Recognition Method of Decorative Openwork Windows with Sustainable Application for Suzhou Traditional Private Gardens in China
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- Xue-Bo Jin & Wei-Zhen Zheng & Jian-Lei Kong & Xiao-Yi Wang & Yu-Ting Bai & Ting-Li Su & Seng Lin, 2021. "Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization," Energies, MDPI, vol. 14(6), pages 1-18, March.
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Cited by:
- Yunda Wang & Qiguan Shu & Ming Chen & Xudounan Chen & Shiro Takeda & Junhua Zhang, 2022. "Selection and Application of Quantitative Indicators of Paths Based on Graph Theory: A Case Study of Traditional Private and Antique Gardens in Beijing," Land, MDPI, vol. 11(12), pages 1-21, December.
- Linlin Shan & Long Zhang, 2022. "Application of Intelligent Technology in Facade Style Recognition of Harbin Modern Architecture," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
- Huishu Chen & Li Yang, 2023. "Analysis of Narrative Space in the Chinese Classical Garden Based on Narratology and Space Syntax—Taking the Humble Administrator’s Garden as an Example," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
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Keywords
Chinese landscape architecture; artificial intelligence; Suzhou traditional gardens; decorative openwork window recognition; deep learning neural network;All these keywords.
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