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Figure 3_SEM I.png 5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques Imagen PNG - 183,6 KB - MD5: 0e727d836a3c4d73ce45b0cc7c66dde4
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.

Figure 3_SEM I.png

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

Imagen PNG - 183,6 KB -

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.

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