Raw and processed data in paper entitled "Deep learning-based approach for high spatial resolution fiber shape sensing"
Samaneh Manavi Roodsari

folder Data for Repository (26 files)
fileraw data/RandomSplit/Spectrum_matched_10-05-2022 15.12.10.905.csv 147.87MB
fileraw data/RandomSplit/Coordinate_matched_10-05-2022 15.12.10.905.csv 86.63MB
fileraw data/3min_second/Spectrum_matched_10-05-2022 15.56.10.800.csv 14.78MB
fileraw data/3min_second/Coordinate_matched_10-05-2022 15.56.10.800.csv 8.64MB
fileraw data/3min_first/Spectrum_matched_10-05-2022 15.50.34.438.csv 14.81MB
fileraw data/3min_first/Coordinate_matched_10-05-2022 15.50.34.438.csv 8.67MB
fileprocessed data/y_val_Norm_Relative_1606Random_10-05-2022--15-12.csv 8.93MB
fileprocessed data/y_3min_Norm_10-05-2022_second.csv 8.95MB
fileprocessed data/y_train_Norm_Relative_1606Random_10-05-2022--15-12.csv 71.40MB
fileprocessed data/y_test_Norm_Relative_1606Random_10-05-2022--15-12.csv 8.94MB
fileprocessed data/y_3min_Norm_10-05-2022.csv 8.96MB
fileprocessed data/x_val_Norm_Relative_1606Random_10-05-2022--15-12.csv 84.90MB
fileprocessed data/x_train_Norm_Relative_1606Random_10-05-2022--15-12.csv 679.10MB
fileprocessed data/x_3min_Norm_10-05-2022.csv 84.97MB
fileprocessed data/x_3min_Norm_10-05-2022_second.csv 84.90MB
fileprocessed data/x_test_Norm_Relative_1606Random_10-05-2022--15-12.csv 84.88MB
fileMFD data/Transformation_Matrix.mat 0.28kB
fileMFD data/SpatialCoordinate_pred_TestResults_10_05_RandomTest_all22-06-2022.mat 326.58MB
fileMFD data/SpatialCoordinate_pred_TestResults_10_05_3min_second_all22-06-2022.mat 327.23MB
fileMFD data/SpatialCoordinate_pred_TestResults_10_05_3min_first_all22-06-2022.mat 327.58MB
fileMFD data/SpatialCoordinate_GT_TestResults_10_05_RandomTest_all22-06-2022.mat 401.33MB
fileMFD data/SpatialCoordinate_GT_TestResults_10_05_3min_first_all22-06-2022.mat 404.44MB
fileMFD data/SpatialCoordinate_GT_TestResults_10_05_3min_second_all22-06-2022.mat 402.99MB
fileMFD data/RotationMatrix.mat 0.27kB
fileMFD data/ArcNum_5FBGs.mat 0.20kB
fileMFD data/ArcNum_F.mat 0.22kB
Type: Dataset
Tags: deep learning, shape sensing, bending birefringence, bending loss, eccentric FBG, fiber sensor, curvature sensing

Bibtex:
@article{,
title= {Raw and processed data in paper entitled "Deep learning-based approach for high spatial resolution fiber shape sensing"},
journal= {Communications Engineering},
author= {Samaneh Manavi Roodsari},
year= {2023},
url= {},
abstract= {Raw and processed data used in the paper entitled, Deep learning-based approach for high spatial resolution fiber shape sensing, published in the Journal of Communications Engineering. The code for processing the raw data is available in the link provided under the “code availability” section of the paper.
Alternative download link:
https://zenodo.org/records/13293929},
keywords= {deep learning, shape sensing, bending birefringence, bending loss, eccentric FBG, fiber sensor, curvature sensing},
terms= {},
license= {},
superseded= {}
}


Send Feedback