Institute for Acoustics and Building Physics

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91 to 100 of 574 Results

hyperopt.py Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades Python Source Code - 1.3 KB - MD5: be3715a6f54bdbbd1784fb4d6e82c5c9 Functions to conduct the hyper parameter optimisation.
__init__.py Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades Python Source Code - 0 B - MD5: d41d8cd98f00b204e9800998ecf8427e
main.py Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades Python Source Code - 3.3 KB - MD5: a1d34b7bffe6ed479404a841fea519b8 Main Python file to replicate the result data, figure as well as table generation.
parcoords.py Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades Python Source Code - 8.5 KB - MD5: 5f13ba8ed21da75710c580b765d26a83
requirements.txt Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades Plain Text - 150 B - MD5: d585d133296da7f47f0e4e91e5c10c05
study_X1.db Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades Unknown - 252.0 KB - MD5: 9a6ddf09da751ebf32da436063363629 Optuna study results based on feature set X1.
study_X2.db Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades Unknown - 252.0 KB - MD5: 6ec6ca5acc545c47be8ad3b2006fa713 Optuna study results based on feature set X2.
study_X3.db Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades Unknown - 252.0 KB - MD5: 1cc0c860f21908d86f2364a378ab1fc4 Optuna study results based on feature set X3.
study_X4.db Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades Unknown - 252.0 KB - MD5: 9364da19938150722620577da9aea509 Optuna study results based on feature set X4.
train.py Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades Python Source Code - 16.2 KB - MD5: b8afe679c06f9494a18146de6461a2cf Functions to train the neural network.

hyperopt.py

Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades

Python Source Code - 1.3 KB -

Functions to conduct the hyper parameter optimisation.

__init__.py

Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades

Python Source Code - 0 B -

main.py

Feb 9, 2026 - Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades

Python Source Code - 3.3 KB -

Main Python file to replicate the result data, figure as well as table generation.

parcoords.py