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1,431 to 1,440 of 1,445 Results

unet_model.py Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images Python Source Code - 4.8 KB - MD5: 4ba8de9fd71357430ace88cb7c04fafa
unet_trainer.py Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images Python Source Code - 4.7 KB - MD5: 3d543f416b70a6a805d506cde0c1777f
utils.py Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images Python Source Code - 363 B - MD5: 52b316604c9f43f66f7e207774af78d6
validation_256x256_50um_Bxyz.npy Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images Unknown - 96.0 MB - MD5: 0d85101f8026dbfcc5540420da12b0b9 In distribution validation data (Input Bx, By, and Bz) for 256x256 resolution, standoff 50 ± 50 μm data
validation_256x256_50um_Jxy.npy Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images Unknown - 64.0 MB - MD5: 447581eea5560647eae9a7f6bb06ee28 In distribution validation data (Ground truth Jx and Jy) for 256x256 resolution, standoff 50 ± 50 μm data
validation_64x64_500um_Bxyz.npy Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images Unknown - 192.0 MB - MD5: d8123bbda82d03e5f56d90121f9bf258 In distribution validation data (Input Bx, By, and Bz) for 64x64 resolution, standoff 500 ± 50 μm data
validation_64x64_500um_Jxy.npy Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images Unknown - 128.0 MB - MD5: 4bd13809e7b3ae3e16bc19ea97956464 In distribution validation data (Ground truth Jx and Jy) for 64x64 resolution, standoff 500 ± 50 μm data
validation_64x64_50um_Bxyz.npy Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images Unknown - 256.0 MB - MD5: 7f3f0e5974eb08db7cd928222389fd6b In distribution validation data (Input Bx, By, and Bz) for 64x64 resolution, standoff 50 ± 10 μm data
validation_64x64_50um_Jxy.npy Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images Unknown - 128.0 MB - MD5: 703d59d7812f9a76440abe5e190a0535 In distribution validation data (Ground truth Jx and Jy) for 64x64 resolution, standoff 50 ± 10 μm data
val_loss Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images Plain Text - 2.4 KB - MD5: ce301350db6fd847f9c2292a0635710c Validation loss recorded during training of 64x64 resolution, standoff 50 ± 10 μm network

unet_model.py

Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images

Python Source Code - 4.8 KB -

unet_trainer.py

Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images

Python Source Code - 4.7 KB -

utils.py

Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images

Python Source Code - 363 B -

validation_256x256_50um_Bxyz.npy

Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images

Unknown - 96.0 MB -

In distribution validation data (Input Bx, By, and Bz) for 256x256 resolution, standoff 50 ± 50 μm data

validation_256x256_50um_Jxy.npy

Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images

Unknown - 64.0 MB -

In distribution validation data (Ground truth Jx and Jy) for 256x256 resolution, standoff 50 ± 50 μm data

validation_64x64_500um_Bxyz.npy

Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images

Unknown - 192.0 MB -

In distribution validation data (Input Bx, By, and Bz) for 64x64 resolution, standoff 500 ± 50 μm data

validation_64x64_500um_Jxy.npy

Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images

Unknown - 128.0 MB -

In distribution validation data (Ground truth Jx and Jy) for 64x64 resolution, standoff 500 ± 50 μm data

validation_64x64_50um_Bxyz.npy

Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images

Unknown - 256.0 MB -

In distribution validation data (Input Bx, By, and Bz) for 64x64 resolution, standoff 50 ± 10 μm data

validation_64x64_50um_Jxy.npy

Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images

Unknown - 128.0 MB -

In distribution validation data (Ground truth Jx and Jy) for 64x64 resolution, standoff 50 ± 10 μm data

val_loss

Jan 13, 2025 - Replication Data for: Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images

Plain Text - 2.4 KB -

Validation loss recorded during training of 64x64 resolution, standoff 50 ± 10 μm network

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