Incorporating sparse model machine learning in designing cultural heritage landscapes

Managing, protecting, and the evolutionary development of historical landscapes require robust frameworks and processes for forming datasets and advanced decision support tools. Despite the great potential, using pattern language, machine learning, and regenerative and generative design tools has ye...

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Veröffentlicht in:	Automation in construction Jg. 155; S. 105058
Hauptverfasser:	Goodarzi, Parichehr, Ansari, Mojtaba, Pour Rahimian, Farzad, Mahdavinejad, Mohammadjavad, Park, Chansik
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2023
Schlagworte:	Adaptive pattern language Co-evolution Decision support tools Few-shot problem Generative Adversarial Networks Historical landscape Regenerative-adaptive design Sparse learning model UAV-photogrammetry Regenerative-adaptive design Sparse learning model Decision support tools Generative Adversarial Networks Few-shot problem Co-evolution Historical landscape UAV-photogrammetry Adaptive pattern language
ISSN:	0926-5805, 1872-7891
Online-Zugang:	Volltext
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