E-LIB Suche - Ergebnisse für: Prates, Pedro

1

SecFL – Secure Federated Learning Framework for predicting ..:

da Silveira Dib, Mario Alberto ; Prates, Pedro ; Ribeiro, Bernardete
Expert Systems with Applications. 235 (2024) - p. 121139 , 2024

Link: https://doi.org/10.1016/..

2

Sensitivity Analysis of the Square Cup Forming Process Usin..:

Parreira, Tomás G. ; Rodrigues, Diogo C. ; Oliveira, Marta C....
Metals. 14 (2024) 4 - p. 432 , 2024

Link: https://doi.org/10.3390/..

3

Identification of Sheet Metal Constitutive Parameters Using..:

Parreira, Tomás G. ; Marques, Armando E. ; Sakharova, Nataliya A...
Metals. 14 (2024) 2 - p. 212 , 2024

Link: https://doi.org/10.3390/..

4

Effect of L‐T and S‐T orientations on fatigue crack growth ..:

Borges, Micael F. ; Antunes, Fernando V. ; Jesus, Joel...
Fatigue & Fracture of Engineering Materials & Structures. 46 (2023) 9 - p. 3274-3289 , 2023

Link: https://doi.org/10.1111/..

5

Recent Advances and Applications of Machine Learning in Met..:

Prates, Pedro ; Pereira, André
Metals. 12 (2022) 8 - p. 1342 , 2022

Link: https://doi.org/10.3390/..

6

Material Parameter Identification of Elastoplastic Constitu..:

Bastos, Nelson ; Prates, Pedro A. ; Andrade-Campos, António
Key Engineering Materials. 926 (2022) - p. 2193-2200 , 2022

Link: https://doi.org/10.4028/..

7

Machine Learning for Predicting Fracture Strain in Sheet Me..:

Marques, Armando ; Dib, Mario ; Khalfallah, Ali...
Metals. 12 (2022) 11 - p. 1799 , 2022

Link: https://doi.org/10.3390/..

8

Analysis of ESAFORM 2021 cup drawing benchmark of an Al all..:

Habraken, Anne Marie ; Aksen, Toros Arda ; Alves, José L....
International Journal of Material Forming. 15 (2022) 5 - p. , 2022

Link: https://doi.org/10.1007/..

9

Machine Learning for the Prediction of Edge Cracking in She..:

, In: Management and Industrial Engineering; Machine Learning and Artificial Intelligence with Industrial Applications,

Marques, Armando E. ; Prates, Pedro A. ; Fonseca, Ana R.... - p. 127-144 , 2022

Link: https://doi.org/10.1007/..

10

Variance-Based Sensitivity Analysis of the Biaxial Test on ..:

Pereira, André F.G. ; Oliveira, Marta C. ; Fernandes, José Valdemar.
Key Engineering Materials. 926 (2022) - p. 2154-2161 , 2022

Link: https://doi.org/10.4028/..

11

On the Identification of Material Constitutive Model Parame..:

Marques, Armando ; Pereira, André ; Ribeiro, Bernardete.
Key Engineering Materials. 926 (2022) - p. 2146-2153 , 2022

Link: https://doi.org/10.4028/..

12

Mechanical design of ring tensile specimen via surrogate mo..:

Ktari, Zied ; Leitão, Carlos ; Prates, Pedro A..
Mechanics of Materials. 153 (2021) - p. 103673 , 2021

Link: https://doi.org/10.1016/..

13

Numerical Prediction of the Fatigue Crack Growth Rate in SL..:

Ferreira, Fábio F. ; Neto, Diogo M. ; Jesus, Joel S...
Metals. 10 (2020) 9 - p. 1133 , 2020

Link: https://doi.org/10.3390/..

14

Numerical Study on the Forming Behaviour of Multilayer Shee..:

Marques, Armando E. ; Prates, Pedro A. ; Pereira, André F. G....
Metals. 10 (2020) 6 - p. 716 , 2020

Link: https://doi.org/10.3390/..

15

Performance Comparison of Parametric and Non-Parametric Reg..:

Marques, Armando E. ; Prates, Pedro A. ; Pereira, André F. G....
Metals. 10 (2020) 4 - p. 457 , 2020

Link: https://doi.org/10.3390/..