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121 to 130 of 1,176 Results
MS Excel Spreadsheet - 20.8 KB - MD5: 62eece909d7be94b298f74e508a11c9e
This file contains the updated list of 99 multi-storey timber buildings in the DACH region with basic data including the location, number of stories, construction year, as well as the basic stakeholder constellation and the identified innovation trajectory.
Tabular Data - 71.9 KB - 34 Variables, 99 Observations - UNF:6:LpBDStdiB1fyEfbULY7JjQ==
This file contains the full updated list of 99 buildings in the DACH region with analyzed and classified data which includes the construction year, location, height (number of stories), program (use of the building), structural system (type), structural materials used, massing and internal spatial organization, as well as the stakeholder constellat...
Tabular Data - 20.6 KB - 10 Variables, 256 Observations - UNF:6:3UHHQ86HoMgX/+ZxV/QL0g==
This file contains the full updated list of 258 stakeholders involved in the design and construction of the 99 projects in the DACH region. The data includes links to stakeholder websites, headquarter location, and the related projects ID's.
Tabular Data - 3.6 MB - 7 Variables, 25601 Observations - UNF:6:w0mMY9WX20LiDHM7YhzZ2Q==
Comma Separated Values - 1.4 KB - MD5: 58e60a32698db8ae1756ff568b19184e
Tabular Data - 5.2 MB - 10 Variables, 25601 Observations - UNF:6:2mOzkWp9ROZK4p/1vVuPog==
application/x-BibTeX - 28.8 KB - MD5: f284742088351215a4f5e590f460e90f
Literature File
EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design' logo
Oct 15, 2024
AP47: Multi-objective optimisation and machine learning for climate-friendly building design
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