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MS Word - 30.9 KB -
MD5: 6cb0539b281fcc6808a33ba373322cc9
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MS Word - 21.0 KB -
MD5: be09978bf8a74d1844a26ef45ca2c69f
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MS Word - 19.3 KB -
MD5: 0852f3f14591397071bb787f8ba2cfcc
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MS Word - 34.6 KB -
MD5: b43df36ad10f18a2d98e6bb9821aab90
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MS Word - 20.3 KB -
MD5: b72eba091a0c05488df673f6d6bdfe1c
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MS Word - 41.2 KB -
MD5: 6d89737e217916a09bf8b95127168d70
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MS Word - 17.9 KB -
MD5: cc63e9c2cc039d2a1289d192a9d6ba3e
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Oct 4, 2024 -
URHAND
ZIP Archive - 10.5 GB -
MD5: dc452d8337a7b0173cf5a6144e0db2eb
Within this dataset, you will find the following folders with the following files:
Classifiers: a file that uses the dataset named (archivo_final.csv) to create the classifiers.
This document is a .py code file.
Dataset creator: in this folder, there are two Python codes; dataset_creation.py which allows
recording an experiment of 50 samples wi... |
Sep 3, 2024 -
Data management plan
MS Word - 89.1 KB -
MD5: 8892b0f425ecc701d68194ddb30df3e7
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Sep 3, 2024 -
Protocol Structure
MS Word - 110.8 KB -
MD5: 4f1a75c931dd262b10493fd6dca441f8
Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) Checklist |
