Pedro André Dias Prates
AuthID: R-000-Y5T
1
TITLE: SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability Full Text
AUTHORS: Dib, Mario Alberto da Silveira; Prates, Pedro; Bernardete Ribeiro;
PUBLISHED: 2024, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 235
AUTHORS: Dib, Mario Alberto da Silveira; Prates, Pedro; Bernardete Ribeiro;
PUBLISHED: 2024, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 235
2
TITLE: SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability
AUTHORS: Mario Dib; Pedro A Prates; Bernardete Ribeiro ;
PUBLISHED: 2024, SOURCE: Expert Syst. Appl., VOLUME: 235
AUTHORS: Mario Dib; Pedro A Prates; Bernardete Ribeiro ;
PUBLISHED: 2024, SOURCE: Expert Syst. Appl., VOLUME: 235
INDEXED IN: 
DBLP
DBLP3
TITLE: Machine learning applications in sheet metal constitutive Modelling: A review Full Text
AUTHORS: Armando Marques; Tomás Parreira; André G Pereira; Bernardete Ribeiro; Pedro Prates;
PUBLISHED: 2024, SOURCE: INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, VOLUME: 303
AUTHORS: Armando Marques; Tomás Parreira; André G Pereira; Bernardete Ribeiro; Pedro Prates;
PUBLISHED: 2024, SOURCE: INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, VOLUME: 303
INDEXED IN: 
Scopus 
WOS
Scopus WOS4
TITLE: Effect of L-T and S-T orientations on fatigue crack growth in an aluminum 7050-T7451 plate Full Text
AUTHORS: Borges, Micael F.; Antunes, Fernando V.; Jesus, Joel; Branco, Ricardo; Prates, Pedro; Neto, Diogo M.;
PUBLISHED: 2023, SOURCE: FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
AUTHORS: Borges, Micael F.; Antunes, Fernando V.; Jesus, Joel; Branco, Ricardo; Prates, Pedro; Neto, Diogo M.;
PUBLISHED: 2023, SOURCE: FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
INDEXED IN: Scopus WOS
Scopus WOS5
TITLE: Recent Advances and Applications of Machine Learning in Metal Forming Processes
AUTHORS: Prates, Pedro A.; Pereira, Andre F. G.;
PUBLISHED: 2022, SOURCE: METALS, VOLUME: 12, ISSUE: 8
AUTHORS: Prates, Pedro A.; Pereira, Andre F. G.;
PUBLISHED: 2022, SOURCE: METALS, VOLUME: 12, ISSUE: 8
INDEXED IN: Scopus WOS
Scopus WOS6
TITLE: Machine Learning for Predicting Fracture Strain in Sheet Metal Forming
AUTHORS: Marques, Armando E.; Dib, Mario A.; Khalfallah, Ali; Soares, Martinho S.; Oliveira, Marta C.; Fernandes, Jose V.; Bernardete Ribeiro ; Prates, Pedro A.;
PUBLISHED: 2022, SOURCE: METALS, VOLUME: 12, ISSUE: 11
AUTHORS: Marques, Armando E.; Dib, Mario A.; Khalfallah, Ali; Soares, Martinho S.; Oliveira, Marta C.; Fernandes, Jose V.; Bernardete Ribeiro ; Prates, Pedro A.;
PUBLISHED: 2022, SOURCE: METALS, VOLUME: 12, ISSUE: 11
7
TITLE: Mechanical design of ring tensile specimen via surrogate modelling for inverse material parameter identification Full Text
AUTHORS: Ktari, Z; Leitao, C; Prates, PA; Khalfallah, A;
PUBLISHED: 2021, SOURCE: MECHANICS OF MATERIALS, VOLUME: 153
AUTHORS: Ktari, Z; Leitao, C; Prates, PA; Khalfallah, A;
PUBLISHED: 2021, SOURCE: MECHANICS OF MATERIALS, VOLUME: 153
INDEXED IN: Scopus WOS
Scopus WOS8
TITLE: Single and ensemble classifiers for defect prediction in sheet metal forming under variability Full Text
AUTHORS: Dib, MA; Oliveira, NJ; Marques, AE; Oliveira, MC; Fernandes, JV; Bernardete Ribeiro ; Prates, PA;
PUBLISHED: 2020, SOURCE: NEURAL COMPUTING & APPLICATIONS, VOLUME: 32, ISSUE: 16
AUTHORS: Dib, MA; Oliveira, NJ; Marques, AE; Oliveira, MC; Fernandes, JV; Bernardete Ribeiro ; Prates, PA;
PUBLISHED: 2020, SOURCE: NEURAL COMPUTING & APPLICATIONS, VOLUME: 32, ISSUE: 16
9
TITLE: Model Prediction of Defects in Sheet Metal Forming Processes
AUTHORS: Mario Dib; Bernardete Ribeiro ; Pedro Prates;
PUBLISHED: 2018, SOURCE: 19th International Conference on Engineering Applications of Neural Networks, EANN 2018 in Engineering Applications of Neural Networks - 19th International Conference, EANN 2018, Bristol, UK, September 3-5, 2018, Proceedings, VOLUME: 893
AUTHORS: Mario Dib; Bernardete Ribeiro ; Pedro Prates;
PUBLISHED: 2018, SOURCE: 19th International Conference on Engineering Applications of Neural Networks, EANN 2018 in Engineering Applications of Neural Networks - 19th International Conference, EANN 2018, Bristol, UK, September 3-5, 2018, Proceedings, VOLUME: 893
10
TITLE: Inverse identification of the Swift law parameters using the bulge test Full Text
AUTHORS: Reis, LC; Prates, PA; C. Oliveira; Santos, AD; Fernandes, JV;
PUBLISHED: 2017, SOURCE: INTERNATIONAL JOURNAL OF MATERIAL FORMING, VOLUME: 10, ISSUE: 4
AUTHORS: Reis, LC; Prates, PA; C. Oliveira; Santos, AD; Fernandes, JV;
PUBLISHED: 2017, SOURCE: INTERNATIONAL JOURNAL OF MATERIAL FORMING, VOLUME: 10, ISSUE: 4
