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Demonstrates a methodology that enhances modern architectural design, implying a fusion of tradition and innovation.
Modern architectural design is becoming data-driven, sustainable, and culturally adaptive through intelligent sensing, IoT, and algorithmic frameworks. This paper introduces a methodology combining clustering optimization, deep generative modelling, and parametric reconstruction to digitize traditional Chinese architecture and design modern green buildings. Using StructGAN, neural simulations, and reinforcement learning, the system reconstructs heritage forms, optimizes structures, and monitors energy patterns. Results show high design fidelity, efficiency, and cultural coherence, bridging tradition with modernity.
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Zhang et al. (2026) studied this question.
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