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Published March 21, 2024 | Version v2
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A dynamic informed deep learning method for future estimation of laboratory stick-slip

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Description

Models for A dynamic informed deep learning method for future estimation of laboratory stick-slip.

Files

20231103_driver_archive.ipynb

Files (10.8 MB)

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md5:38388a54b28be42d6bd7f610f3e9da91
2.0 MB Preview Download
md5:95ef2a9815b5429b186a314d7aafa4b6
2.9 MB Preview Download
md5:543939ecddb4e03ce9ea6b6ec785fb38
2.9 MB Preview Download
md5:dd3a796c8a9638d58df3a20c7b67f5c4
2.9 MB Preview Download
md5:179d9542a1e7b88701839b8d2e592a94
160.1 kB Download
md5:d8f5ebff416f823fd3cecf24a0c1fd5b
8.0 kB Download
md5:e9f75a5f2d059ccb88709f1a2d64b845
2.0 kB Download
md5:d105d226370713446478263bdbf221a2
2.3 kB Download
md5:6309542fba142f81cf97cf83c5c14d8f
3.7 kB Download
md5:5d9fe51c3f01501a39496236fa17da36
9.4 kB Download
md5:5f8dae86c1abf0d0c168f477a923aa45
13.1 kB Download

Additional details

Dates

Created
2024-03-21
Model archived

Software

Programming language
Jupyter Notebook, Python