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871 to 880 of 1,556 Results
2dH-2300.cgns
Sep 25, 2024 - Replication Data for: Collisions of vortex rings with hemispheres
Unknown - 1.4 GB - MD5: 89e3c9ba1f33637397cb3f6b39d50b13
2dH-2340.cgns
Sep 25, 2024 - Replication Data for: Collisions of vortex rings with hemispheres
Unknown - 1.4 GB - MD5: 451f17cd572fdc0a39d9698cf4b582ef
2dH-2380.cgns
Sep 25, 2024 - Replication Data for: Collisions of vortex rings with hemispheres
Unknown - 1.4 GB - MD5: 3115d3cb935645e0895771bfaf7bb6cb
2dH-2420.cgns
Sep 25, 2024 - Replication Data for: Collisions of vortex rings with hemispheres
Unknown - 1.4 GB - MD5: 1d2e18c35b5599a01a40210eb64ec549
2dH-2460.cgns
Sep 25, 2024 - Replication Data for: Collisions of vortex rings with hemispheres
Unknown - 1.4 GB - MD5: 3fe6a2815c9789a56a0c51c489fd181b
2dH-2500.cgns
Sep 25, 2024 - Replication Data for: Collisions of vortex rings with hemispheres
Unknown - 1.4 GB - MD5: 543a557097a0316b859af2a3215c0dc8
Tracing curves in the plane: geometric-invariant learning from human demonstrations
Tracing curves in the plane: geometric-invariant learning from human demonstrations
Sep 21, 2024 - TURLAPATI Sri Harsha
Turlapati, Sri Harsha, 2024, "Tracing curves in the plane: geometric-invariant learning from human demonstrations", https://doi.org/10.21979/N9/QLAMWF, DR-NTU (Data), V2
The empirical laws governing human-curvilinear movements have been studied using various relationships, including minimum jerk, the 2/3 power law, and the piecewise power law. These laws quantify the speed-curvature relationships of human movements during curve tracing using crit...
define_curves_for_generalization.mlx
Sep 21, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations
Unknown - 278.7 KB - MD5: 89205f78c1892e8333b2d13767047111
v2
README.md
Sep 21, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations
Markdown Text - 1.3 KB - MD5: f1be0704e160a60a6a6e7dd5653dc968
Documentation
v2
train_ELM.mlx
Sep 21, 2024 - Tracing curves in the plane: geometric-invariant learning from human demonstrations
Unknown - 2.1 MB - MD5: 36465b3be0d78262b595548cf0c6b016
v2
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