Kateryna Morozovska

19 papers C 3Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	$PINN - a Domain Decomposition Method for Bayesian Physics-Informed Neural Networks. CoRR Júlia Vicens Figueres, Juliette Vanderhaeghen, Federica Bragone, Kateryna Morozovska, Khemraj Shukla
2025	J	`jnl`	Automatic learning analysis of flow-induced birefringence in cellulose nanofibrils. J. Comput. Sci. Federica Bragone, Kateryna Morozovska, Tomas Rosén, Tor Laneryd, Daniel Söderberg, Stefano Markidis
2025	J	`jnl`	Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation. CoRR Francis Tembo, Federica Bragone, Tor Laneryd, Matthieu Barreau, Kateryna Morozovska
2025	J	`jnl`	Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares. CoRR Aurora Poggi, Giuseppe Alessio D'Inverno, Hjalmar Brismar, Ozan Öktem, Matthieu Barreau, Kateryna Morozovska
2025	J	`jnl`	Discovering Partially Known Ordinary Differential Equations: a Case Study on the Chemical Kinetics of Cellulose Degradation. CoRR Federica Bragone, Kateryna Morozovska, Tor Laneryd, Khemraj Shukla, Stefano Markidis
2025	J	`jnl`	MILP initialization for solving parabolic PDEs with PINNs. CoRR Sirui Li, Federica Bragone, Matthieu Barreau, Kateryna Morozovska
2025	—	`conf`	Online Traffic Density Estimation using Physics-Informed Neural Networks. CDC Dennis Bogatov Wilkman, Kateryna Morozovska, Karl Henrik Johansson, Matthieu Barreau
2025	J	`jnl`	Online Traffic Density Estimation using Physics-Informed Neural Networks. CoRR Dennis Bogatov Wilkman, Kateryna Morozovska, Karl Henrik Johansson, Matthieu Barreau
2025	J	`jnl`	Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks. CoRR Sirui Li, Federica Bragone, Matthieu Barreau, Tor Laneryd, Kateryna Morozovska
2025	J	`jnl`	Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants. Eng. Appl. Artif. Intell. Ibai Ramirez, Joel Pino, David Pardo, Mikel Sanz, Luis Del Rio, Alvaro Ortiz, Kateryna Morozovska, Jose Ignacio Aizpurua
2024	J	`jnl`	Residual-based Attention Physics-informed Neural Networks for Efficient Spatio-Temporal Lifetime Assessment of Transformers Operated in Renewable Power Plants. CoRR Ibai Ramirez, Joel Pino, David Pardo, Mikel Sanz, Luis Del Rio, Alvaro Ortiz, Kateryna Morozovska, Jose Ignacio Aizpurua
2024	—	`conf`	Time Series Predictions Based on PCA and LSTM Networks: A Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils. ICCS (1) Federica Bragone, Kateryna Morozovska, Tomas Rosén, Daniel Söderberg, Stefano Markidis
2022	C	`conf`	Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers. ICMLA Federica Bragone, Khaoula Oueslati, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska
2022	C	`conf`	Physics-Informed Neural Networks for prediction of transformer's temperature distribution. ICMLA Oliver Welin Odeback, Federica Bragone, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska
2022	C	`conf`	Self-Supervised Transformer Networks for Error Classification of Tightening Traces. ICMLA Dennis Bogatov Wilkman, Lifei Tang, Kateryna Morozovska, Federica Bragone
2021	J	`jnl`	Including Dynamic Line Rating Into the Optimal Planning of Distributed Energy Resources. IEEE Trans. Smart Grid Kateryna Morozovska, Miguel Heleno, Alan Valenzuela, Patrik Hilber
2021	—	`conf`	Sizing Transformer Considering Transformer Thermal Limits and Wind Farm Wake Effect. ISGT Asia Zhongtian Li, Kateryna Morozovska, Patrik Hilber, Tor Laneryd, Stefan Ivanell
2020	—	`—`	Dynamic Rating with Applications to Renewable Energy. Kateryna Morozovska
2020	—	`conf`	Minimization of Wind Power Curtailment using Dynamic Line Rating. ISGT-Europe Vageesh Chakrapani Manakari, Sandra Thengius, Akshaya Tammanur Ravi, Kateryna Morozovska, Patrik Hilber