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1,401 to 1,410 of 1,579 Results
README.md
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Markdown Text - 1.7 KB - MD5: cf91ad4ef370739885c4da7fa9a14dba
run_experiment_industrial_robot.py
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Python Source Code - 790 B - MD5: 7c104d5e2e4e119f1af0e5c9d5a9a066
run_experiment_ship_ind.py
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Python Source Code - 798 B - MD5: 03c89d6fc4da10ff7e164b1726b05447
run_experiment_ship_ood.py
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Python Source Code - 3.2 KB - MD5: 2061626de85058ffbc233707506a3e95
setup_environment.py
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Python Source Code - 3.1 KB - MD5: 30c390367b82797419abc6ba9057eafa
ship.json
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
JSON - 4.6 KB - MD5: 52fba57c58e0b7b498a8ebc443cc2c3b
summarize_results.py
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Python Source Code - 6.7 KB - MD5: c72cb36dcb6ca14b3d001e461e4cb3dd
utils.py
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Python Source Code - 2.7 KB - MD5: 71fdd26d5fbf6ecbbcb93afe259e4809
install_python_libs_for_abaqus_v2016.md
Apr 20, 2023 - Replication Data for: Holes in glulam - Orientation and design of internal reinforcements
Markdown Text - 2.0 KB - MD5: e35f95ce26c17df7833631b3c3a9a82d
Instructions to install required python libraries for Abaqus v2016. Versions of Abaqus newer than v2022 include these libraries in the default installation, thus, there is no need to install them manually.
model_glulam_with_hole_no_reinforcement.py
Apr 20, 2023 - Replication Data for: Holes in glulam - Orientation and design of internal reinforcements
Python Source Code - 55.0 KB - MD5: 94971fa4175e607f25fd61b4bed3e91d
Finite element model of a glulam beam with a hole reinforced without reinforcement.
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