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Part 1: Document Description
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Citation |
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Title: |
Code |
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Identification Number: |
doi:10.57924/O3GYPO |
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Distributor: |
Papyrus |
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Date of Distribution: |
2023-05-16 |
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Version: |
1 |
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Bibliographic Citation: |
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 |
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Citation |
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Title: |
Code |
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Identification Number: |
doi:10.57924/O3GYPO |
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Authoring Entity: |
Vélez Hoyos, Francisco Javier (Universidad Cooperativa de Colombia) |
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Aristizabal Tique, Victor Hugo (Universidad Cooperativa de Colombia) |
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Herrera Ramírez, Jorge Alexis (Instituto Tecnológico Metropolitano) |
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Gómez Cardona, Nelson Darío (Instituto Tecnológico Metropolitano) |
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Gómez, Jorge Alberto (Politécnico Jaime Isaza Cadavid) |
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Quijano, Jairo Camilo (Politécnico Jaime Isaza Cadavid) |
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Carrasquilla, Juan Felipe (Vector Institute, Toronto, Canada) |
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Reyes Vera, Erick (Instituto Tecnológico Metropolitano) |
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Madrigal González, Carlos Andrés (Instituto Tecnológico Metropolitano) |
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Arango, Juan David (Instituto Tecnológico Metropolitano) |
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Software used in Production: |
COMSOL |
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Software used in Production: |
MATLAB |
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Software used in Production: |
Jupyter Notebook |
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Distributor: |
Papyrus |
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Access Authority: |
Francisco Javier Vélez Hoyos |
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Date of Deposit: |
2023-05-05 |
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Holdings Information: |
https://doi.org/10.57924/O3GYPO |
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Study Scope |
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Keywords: |
Computer and Information Science, Engineering, Physics, Specklegrams, Specklegramas, Convolutional neural network, Red neuronal convolucional, Método de elementos finitos, Finite element method (FEM), Fiber optics sensors, Sensores de fibra óptica |
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Abstract: |
Código matlab, archivo COMSOL y códigos del cuaderno de Python para entrenamiento y predicción con CNN. |
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Matlab code, COMSOL file, and Python notebook codes for training and prediction with CNN. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Arango, J. D., Aristizabal, V. H., Carrasquilla, J. F., Gomez, J. A., Quijano, J. C., Velez, F. J., & Herrera-Ramirez, J. (2021). Deep learning classification and regression models for temperature values on a simulated fibre specklegram sensor. Journal of physics. Conference series, 2139(1), 012001. https://doi.org/10.1088/1742-6596/2139/1/012001 |
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Identification Number: |
20.500.12494/46365 |
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Bibliographic Citation: |
Arango, J. D., Aristizabal, V. H., Carrasquilla, J. F., Gomez, J. A., Quijano, J. C., Velez, F. J., & Herrera-Ramirez, J. (2021). Deep learning classification and regression models for temperature values on a simulated fibre specklegram sensor. Journal of physics. Conference series, 2139(1), 012001. https://doi.org/10.1088/1742-6596/2139/1/012001 |
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Label: |
FG050LGA_MMF_fina.mph |
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Notes: |
application/octet-stream |
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Label: |
MMFStepIndex_changesIndexRef_Temperature_script_DataInBrief.m |
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Notes: |
text/x-matlab |
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Label: |
model.h5 |
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Notes: |
application/x-h5 |
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Label: |
Plan de gestión de datos.pdf |
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Notes: |
application/pdf |
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Label: |
Speckle_regression_prediction_.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
Speckle_regression_training_.ipynb |
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Notes: |
application/x-ipynb+json |
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Label: |
weights.h5 |
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Notes: |
application/x-h5 |