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4,071 to 4,080 of 11,659 Results

conformational_tuning_rawdataset.zip Jun 19, 2023 - Replication Data for: Conformational tuning improves the stability of spirocyclic nitroxides with long paramagnetic relaxation times ZIP Archive - 25.8 MB - MD5: 4ad5359473d37932ed15064f247d6141 Dataset contains all types of previously mentioned raw data for the paper Conformational tuning improves the stability of spirocyclic nitroxides with long paramagnetic relaxation times.
Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv Nov 21, 2022 - The Stein Rokkan Research Group for Quantitative Social and Political Science Jonas Stein, 2022, "Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv", https://doi.org/10.18710/F6XSOT, DataverseNO, V1 Online appendix for paper to be published in Norsk statsvitenskapelig tidsskrift
00_readme_GALTAN.pdf Nov 21, 2022 - Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv Adobe PDF - 117.7 KB - MD5: 326849cd3c91f97c9c998f7b19f2ad9a readme-file
Den andre dimensjonen - appendiks.pdf Nov 21, 2022 - Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv Adobe PDF - 518.3 KB - MD5: ad0d81adb9b7d37f36a05fc09e7c0cf1 Online appendiks til artikkel
GALTAN_public.R Nov 21, 2022 - Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv R Syntax - 3.5 KB - MD5: f8a04119adb47b1c06b08800a2b88c2b Kode i R for data fra CHES
gidron_Norway_public.R Nov 21, 2022 - Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv R Syntax - 1.4 KB - MD5: a88e4eed563f568176caa625f318fb4e Kode på data fra Gidron
Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images Mar 29, 2023 Gupta, Deepak K.; Bhamba, Udbhav; Thakur, Abhishek; Gupta, Akash; Sharan, Suraj; Demir, Ertugrul; Prasad, Dilip K., 2023, "Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images", https://doi.org/10.18710/4F4KJS, DataverseNO, V1 Convolutional neural network (CNN) approaches available in the current literature are designed to work primarily with low-resolution images. When applied on very large images, challenges related to GPU memory, smaller receptive field than needed for semantic correspondence and the need to incorporate multi-scale features arise. The resolution of in...
00_ReadMe.txt Mar 29, 2023 - Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images Plain Text - 6.2 KB - MD5: 66b4fc3733f5c54175c57f7c40d24869
test.zip Mar 29, 2023 - Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images ZIP Archive - 8.7 GB - MD5: 776f8bccbb1285032864afee9cfa991b
train.csv Mar 29, 2023 - Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images Comma Separated Values - 373.1 KB - MD5: acd730388d00a1102f17a8139106ac42 For testing purposes you may contact Dilip K. Prasad at dilip.prasad@uit.no

conformational_tuning_rawdataset.zip

Jun 19, 2023 - Replication Data for: Conformational tuning improves the stability of spirocyclic nitroxides with long paramagnetic relaxation times

ZIP Archive - 25.8 MB -

Dataset contains all types of previously mentioned raw data for the paper Conformational tuning improves the stability of spirocyclic nitroxides with long paramagnetic relaxation times.

Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv

Nov 21, 2022 - The Stein Rokkan Research Group for Quantitative Social and Political Science

Jonas Stein, 2022, "Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv", https://doi.org/10.18710/F6XSOT, DataverseNO, V1

Online appendix for paper to be published in Norsk statsvitenskapelig tidsskrift

00_readme_GALTAN.pdf

Nov 21, 2022 - Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv

Adobe PDF - 117.7 KB -

readme-file

Den andre dimensjonen - appendiks.pdf

Nov 21, 2022 - Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv

Adobe PDF - 518.3 KB -

Online appendiks til artikkel

GALTAN_public.R

Nov 21, 2022 - Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv

R Syntax - 3.5 KB -

Kode i R for data fra CHES

gidron_Norway_public.R

Nov 21, 2022 - Appendiks til Blir norsk politikk GAL? Grønn Alternativ Liberal (GAL) – Norske velgere og partier sett gjennom et europeisk perspektiv

R Syntax - 1.4 KB -

Kode på data fra Gidron

Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images

Mar 29, 2023

Gupta, Deepak K.; Bhamba, Udbhav; Thakur, Abhishek; Gupta, Akash; Sharan, Suraj; Demir, Ertugrul; Prasad, Dilip K., 2023, "Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images", https://doi.org/10.18710/4F4KJS, DataverseNO, V1

Convolutional neural network (CNN) approaches available in the current literature are designed to work primarily with low-resolution images. When applied on very large images, challenges related to GPU memory, smaller receptive field than needed for semantic correspondence and the need to incorporate multi-scale features arise. The resolution of in...

00_ReadMe.txt

Mar 29, 2023 - Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images

Plain Text - 6.2 KB -

test.zip

Mar 29, 2023 - Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images

ZIP Archive - 8.7 GB -

train.csv

Mar 29, 2023 - Supporting Data for: UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images

Comma Separated Values - 373.1 KB -

For testing purposes you may contact Dilip K. Prasad at dilip.prasad@uit.no

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