Personal information

Verified email domains

Activities

Employment (2)

Royal Institute of Technology: Stockholm, SE

PhD Student (Computer Science)
Employment
Source: Self-asserted source
Federica Bragone

KTH Royal Institute of Technology: Stockholm, Stockholm, SE

Employment
Source: check_circle
KTH Royal Institute of Technology

Works (9)

Automatic learning analysis of flow-induced birefringence in cellulose nanofibrils

Journal of Computational Science
2025-02 | Journal article
Contributors: Federica Bragone; Kateryna Morozovska; Tomas Rosén; Tor Laneryd; Daniel Söderberg; Stefano Markidis
Source: check_circle
Crossref

Time Series Predictions Based on PCA and LSTM Networks: A Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2024 | Conference paper
EID:

2-s2.0-85199666172

Part of ISBN: 9783031637483
Part of ISSN: 16113349 03029743
Contributors: Bragone, F.; Morozovska, K.; Rosén, T.; Söderberg, D.; Markidis, S.
Source: Self-asserted source
Federica Bragone via Scopus - Elsevier
grade
Preferred source (of 2)‎

Trade-offs of wind power production: A study on the environmental implications of raw materials mining in the life cycle of wind turbines

Journal of Cleaner Production
2024 | Journal article
EID:

2-s2.0-85193857635

Part of ISSN: 09596526
Contributors: Morozovska, K.; Bragone, F.; Svensson, A.X.; Shukla, D.A.; Hellstenius, E.
Source: Self-asserted source
Federica Bragone via Scopus - Elsevier
grade
Preferred source (of 2)‎

Physics Informed Neural Networks for Power Transformer Dynamic Thermal Modelling

IFAC-PapersOnLine
2022 | Conference paper
EID:

2-s2.0-85142303301

Part of ISSN: 24058963
Contributors: Laneryd, T.; Bragone, F.; Morozovska, K.; Luvisotto, M.
Source: Self-asserted source
Federica Bragone via Scopus - Elsevier

Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers

Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022
2022 | Conference paper
EID:

2-s2.0-85152213304

Part of ISBN: 9781665462839
Contributors: Bragone, F.; Oueslati, K.; Laneryd, T.; Luvisotto, M.; Morozovska, K.
Source: Self-asserted source
Federica Bragone via Scopus - Elsevier

Physics-Informed Neural Networks for modelling insulation paper degradation in Power Transformers

2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb, CISTEM 2022
2022 | Conference paper
EID:

2-s2.0-85149268386

Part of ISBN: 9781665451680
Contributors: Oueslati, K.; Dhahbi-Megriche, N.; Bragone, F.; Morozovska, K.; Laneryd, T.; Luvisotto, M.
Source: Self-asserted source
Federica Bragone via Scopus - Elsevier

Physics-informed neural networks for modelling power transformer's dynamic thermal behaviour

Electric Power Systems Research
2022 | Journal article
EID:

2-s2.0-85134327084

Part of ISSN: 03787796
Contributors: Bragone, F.; Morozovska, K.; Hilber, P.; Laneryd, T.; Luvisotto, M.
Source: Self-asserted source
Federica Bragone via Scopus - Elsevier

Physics-Informed Neural Networks for prediction of transformer's temperature distribution

Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022
2022 | Conference paper
EID:

2-s2.0-85152214174

Part of ISBN: 9781665462839
Contributors: Odeback, O.W.; Bragone, F.; Laneryd, T.; Luvisotto, M.; Morozovska, K.
Source: Self-asserted source
Federica Bragone via Scopus - Elsevier

Self-Supervised Transformer Networks for Error Classification of Tightening Traces

Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022
2022 | Conference paper
EID:

2-s2.0-85152215243

Part of ISBN: 9781665462839
Contributors: Wilkman, D.B.; Tang, L.; Morozovska, K.; Bragone, F.
Source: Self-asserted source
Federica Bragone via Scopus - Elsevier