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Oct 4, 2024 - Desarrollo de un sistema de reconocimiento de objetos para la prótesis de mano PrHand basado en machine learning
Ramos, Orion, 2024, "URHAND", https://doi.org/10.34848/9WYHGM, Universidad del Rosario, V1
Dentro de este dataset se encontrarán las siguientes carpetas con los siguientes archivos: Classifiers: archivo que utiliza el dataset llamado (archivo_ final.csv) para crear los clasificadores. Este documento es un archivo de código con extensión .py Dataset creator: en esta car...
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; data...
Oct 4, 2024
La falta de sensores y retroalimentación en los dispositivos prostéticos es un área de investigación de gran importancia a desarrollar, ya que con la integración de estas tecnologías se puede lograr sistemas más eficientes e inteligentes. Basados en experimentos previos de sujeci...
Sep 3, 2024 - Post-pandemic face-to-face learning environments for undergraduate students: a scoping review protocol
Garzón-Díaz, Karim; Villamil Duarte, Angy; Velasco Forero, Sandra Esperanza, 2024, "Management Project", https://doi.org/10.34848/QATJJU, Universidad del Rosario, V1
Files with the administrative management information before, during and after the end of the project.
Sep 3, 2024 - Management Project
Adobe PDF - 433.3 KB - MD5: 8cfccb048535231ba11f2e8b23f4b6df
Sep 3, 2024 - Management Project
Adobe PDF - 935.4 KB - MD5: 04a64af9257fb8b11ee01ce760de1f06
Sep 3, 2024 - Management Project
Adobe PDF - 300.8 KB - MD5: e23c510bfeb2a5ab2acbb5dd9193898c
Sep 3, 2024 - Management Project
Adobe PDF - 894.7 KB - MD5: 714c6bcf1fe27c50802065be9c20f189
Sep 3, 2024 - Management Project
Adobe PDF - 117.1 KB - MD5: ddffbeb1b2c7b6c586613d0bebda58cf
Sep 3, 2024 - Management Project
MS Word - 58.6 KB - MD5: 985e654a99e97ab71795ffec755319c0
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