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5,851 to 5,860 of 11,322 Results
validation_set.tab
May 28, 2025 - Replication Data for: A Nonlinear Elasticity Model and Feedforward Compensation Method to Increase Positioning Accuracy of Industrial Robots
Tabular Data - 123.3 KB - 18 Variables, 391 Observations - UNF:6:0XBMsErN972oRRSt9ehQpg==
Figure 11.. Validation data set. Lasertracker data: cartesian position of the Target (T) in the lasertracker's coordinate system (LT) x_LT_T: x value [m] y_LT_T: y value [m] z_LT_T: z value [m] Transformation in the robot's coordinate system (0): x_0_T: x value [m] y_0_T: y value [m] z_0_T: z value [m] Disclaimer: x_0_T, y_0_T, and z_0_T were ca...
bandwidth_experiments.ipynb
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 8.2 MB - MD5: dbcc1c8379c6e99145170eb5592aa1b2
clip_infinity_ridges_test_3d.py
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Python Source Code - 1.5 KB - MD5: e7fb150197fbcd3b8d070d8db03c8996
clip_only_infinity_test.ipynb
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 86.5 KB - MD5: 5f6c7923fa139466cde14b996a1bf07c
clip_voronoi.ipynb
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 560.0 KB - MD5: 436c3ed97dfc2e550c58aa134fac7ba2
clustering_algorithm.cpython-312.pyc
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Unknown - 1.3 KB - MD5: 99d65c6a106f8e1c1a77c3588d507797
clustering_algorithm.py
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Python Source Code - 679 B - MD5: 8221bc1026257a87d2c377206096d5e9
diabetes_conv_plot_subset.ipynb
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 2.9 MB - MD5: dfc1edad29ce7843fdc3e8f412821cb0
droplet_impact_conv_plot.ipynb
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 6.2 MB - MD5: b736acf959ba2db18c47867a6917b309
droplet_impact_params_and_labels_pruned.csv
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Comma Separated Values - 71.9 KB - MD5: 4aab2cdff1430c83b6401c3d036d4003
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