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Figure 4_SEM II.png 5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques Imagen PNG - 179,6 KB - MD5: c9a35e6160346ff0e8fcd7ba7e71cf8b
Figure 5_Young Modulus.png 5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques Imagen PNG - 50,1 KB - MD5: 8b414932a50aea30d3f68115f7b564b3
Figure 6_Tensile Strength.png 5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques Imagen PNG - 54,9 KB - MD5: 6aa2b97c341fd685c3308c92cdcc94cc
Figure 7_Elongation at break.png 5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques Imagen PNG - 64,3 KB - MD5: 6ec89d92f684e06f1356a4ecb8f7c32c
Figure 8_Ipact Strength.png 5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques Imagen PNG - 163,1 KB - MD5: 518d109879f72f530e713317b4ee4635
readme_Optimization of mechanical properties.txt 5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques Texto plano - 6,3 KB - MD5: bf2904ded2a361ee74167b0c9e5ca178
Text 1_Mechanical Properties.txt 5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques Texto plano - 1,1 KB - MD5: 1a5534408ddecf344c9fafece910b7ac
Text 2_Barrier Properties.txt 5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques Texto plano - 914 B - MD5: 5b1aba1b62507ee238f53f0fae798a72
Replication Data for: African bovid tribe classification using transfer learning and computer vision 24 oct 2024 Domínguez-Rodrigo, Manuel, 2026, "Replication Data for: African bovid tribe classification using transfer learning and computer vision", https://doi.org/10.7910/DVN/TMLXGW Image data set of African bovid teeth used for classification of tribe through computer vision. \| The original image data set was published in: Brophy, J.K., Matthews, G.J. Reference database of teeth images from the Family Bovidae. Sci Data 9, 396 (2022). https://doi.org/10.1038... Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Survey Markers in Luxor West Bank - Data 24 oct 2024 Alarcon Robledo, Sergio; Morales, Antonio J., 2026, "Survey Markers in Luxor West Bank - Data", https://doi.org/10.7910/DVN/WKELGD This dataset includes raw data of two spatial reference networks that the Middle Kingdom Theban Project set on the Theban necropoleis, on the West Bank of Luxor, Egypt. It contains two CSV charts and four PDF files with the spatial data (Coordinates in WGS 84, UTM 36N projection;... Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.

Figure 4_SEM II.png

5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques

Imagen PNG - 179,6 KB -

Figure 5_Young Modulus.png

5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques

Imagen PNG - 50,1 KB -

Figure 6_Tensile Strength.png

5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques

Imagen PNG - 54,9 KB -

Figure 7_Elongation at break.png

5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques

Imagen PNG - 64,3 KB -

Figure 8_Ipact Strength.png

5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques

Imagen PNG - 163,1 KB -

readme_Optimization of mechanical properties.txt

5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques

Texto plano - 6,3 KB -

Text 1_Mechanical Properties.txt

5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques

Texto plano - 1,1 KB -

Text 2_Barrier Properties.txt

5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques

Texto plano - 914 B -

Replication Data for: African bovid tribe classification using transfer learning and computer vision

24 oct 2024

Domínguez-Rodrigo, Manuel, 2026, "Replication Data for: African bovid tribe classification using transfer learning and computer vision", https://doi.org/10.7910/DVN/TMLXGW

Image data set of African bovid teeth used for classification of tribe through computer vision. | The original image data set was published in: Brophy, J.K., Matthews, G.J. Reference database of teeth images from the Family Bovidae. Sci Data 9, 396 (2022). https://doi.org/10.1038...

Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.

Survey Markers in Luxor West Bank - Data

24 oct 2024

Alarcon Robledo, Sergio; Morales, Antonio J., 2026, "Survey Markers in Luxor West Bank - Data", https://doi.org/10.7910/DVN/WKELGD

This dataset includes raw data of two spatial reference networks that the Middle Kingdom Theban Project set on the Theban necropoleis, on the West Bank of Luxor, Egypt. It contains two CSV charts and four PDF files with the spatial data (Coordinates in WGS 84, UTM 36N projection;...

Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.

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