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Evaluación in vitro e in vivo, del efecto que tiene el material particulado pm 2.5 y pm 10 presente en el aire de Medellín - Colombia, en la respuesta inflamatoria.(Universidad Cooperativa de Colombia)
May 16, 2023Universidad Cooperativa de Colombia
El objetivo del presente trabajo es caracterizar el material particulado PM 2.5 y PM 10 presente en el aire de Medellín y evaluar su capacidad de promover la respuesta inflamatoria y las infecciones virales respiratorias. Se cuantificará el efecto de este material sobre la expres...
Code
Code
May 16, 2023 - Evaluación del uso de técnicas de machine learning para el análisis de patrones de interferencia modal en sensores de specklegramas de fibra óptica.
Vélez Hoyos, Francisco Javier; Aristizabal Tique, Victor Hugo; Herrera Ramírez, Jorge Alexis; Gómez Cardona, Nelson Darío; Gómez, Jorge Alberto; Quijano, Jairo Camilo; Carrasquilla, Juan Felipe; Reyes Vera, Erick; Madrigal González, Carlos Andrés; Arango, Juan David, 2023, "Code", https://doi.org/10.57924/O3GYPO, Papyrus, V1
Código matlab, archivo COMSOL y códigos del cuaderno de Python para entrenamiento y predicción con CNN.
FG050LGA_MMF_fina.mph
May 16, 2023 - Code
Unknown - 74.9 KB - MD5: cc62d58e04e1f74d84162c23a7419536
MMFStepIndex_changesIndexRef_Temperature_script_DataInBrief.m
May 16, 2023 - Code
MATLAB Source Code - 3.3 KB - MD5: 7aa8bcafc66c4866321ea5f4c2bda9e4
model.h5
May 16, 2023 - Code
Hierarchical Data Format - 134 B - MD5: 94be6aae6a8741dbd9de1cb30729c63e
Plan de gestión de datos.pdf
Plan de gestión de datos.pdf
May 16, 2023 - Code
Adobe PDF - 123.7 KB - MD5: dcdb9f9b60ab758c3624ee70f6eea7ab
Speckle_regression_prediction_.ipynb
May 16, 2023 - Code
Jupyter Notebook - 26.7 KB - MD5: be86e16c810b1e1d65c9d9df180762b7
Speckle_regression_training_.ipynb
May 16, 2023 - Code
Jupyter Notebook - 945.9 KB - MD5: 6acb441bf8f07b78d24141b4bb5f6685
weights.h5
May 16, 2023 - Code
Hierarchical Data Format - 56.4 MB - MD5: c70a7706cb825305e37e096e38abd4ee
Specklegram database
Specklegram database
May 16, 2023 - Evaluación del uso de técnicas de machine learning para el análisis de patrones de interferencia modal en sensores de specklegramas de fibra óptica.
Vélez Hoyos, Francisco Javier; Aristizabal Tique, Victor Hugo; Herrera Ramírez, Jorge Alexis; Gómez Cardona, Nelson Darío; Reyes Vera, Erick; Carlos Andrés Madrigal González; Arango, Juan David; Gómez, Jorge Alberto; Quijano, Jairo Camilo; Carrasquilla, Juan Felipe, 2023, "Specklegram database", https://doi.org/10.57924/RUYMLA, Papyrus, V1
Synthetic images of specklegrams generated by simulation in COMSOL
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