71 to 80 of 3,943 Results
Jan 29, 2026 -
Replication Data for: Sensor Comparison for Multi-Modal Motion Estimation in Upper Body Stroke Rehabilitation
ZIP Archive - 75.9 MB -
MD5: b393e9d81ffaff22d11bda2c139771b5
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Jan 29, 2026 -
Replication Data for: Sensor Comparison for Multi-Modal Motion Estimation in Upper Body Stroke Rehabilitation
ZIP Archive - 69.3 MB -
MD5: 56e1650600249086dea8914c358e64aa
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Jan 29, 2026 -
Replication Data for: Sensor Comparison for Multi-Modal Motion Estimation in Upper Body Stroke Rehabilitation
ZIP Archive - 77.4 MB -
MD5: 645a8576c1a4b87ed6e19c5a492595fe
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Jan 29, 2026 -
Replication Data for: Sensor Comparison for Multi-Modal Motion Estimation in Upper Body Stroke Rehabilitation
ZIP Archive - 70.1 MB -
MD5: ecbef0cd898af97fc1eb036307728386
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Jan 29, 2026 -
Replication Data for: Sensor Comparison for Multi-Modal Motion Estimation in Upper Body Stroke Rehabilitation
ZIP Archive - 67.4 MB -
MD5: 19da7a0bfdae2955ca38e2d5c067154d
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Jan 29, 2026 -
Replication Data for: Sensor Comparison for Multi-Modal Motion Estimation in Upper Body Stroke Rehabilitation
ZIP Archive - 71.1 MB -
MD5: 0cd926ab063aa0c8de4ec7b6f9ab0cd1
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Jan 29, 2026 -
Replication Data for: Sensor Comparison for Multi-Modal Motion Estimation in Upper Body Stroke Rehabilitation
ZIP Archive - 54.8 MB -
MD5: 95d9dc03ad1c9f8f82abc8ebedefd58a
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Jan 23, 2026 -
Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning
ZIP Archive - 7.0 MB -
MD5: 2f2ddb3430f67244397a14ceb4551171
An archive containing the scripts and intermediate data files used to generate the figures and plots presented in the associated publication. |
Jan 23, 2026 -
Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning
ZIP Archive - 981.6 MB -
MD5: 2ebce6f6d2e78dc1b050fb8404338647
An archive containing scripts and data for running predictions on new, unseen data using the trained Kian-Net model. |
Jan 23, 2026 -
Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning
ZIP Archive - 493.0 MB -
MD5: db99a617fcf4dc6b2e531b1d9ddb90db
An archive containing the trained model weights, model architecture definitions, and the test datasets used for evaluating model performance. |
