132 citations
- University of CreteGR52 papers
- Foundation for Research and Technology HellasGR31 papers
- National Technical University of AthensGR16 papers
- National and Kapodistrian University of AthensGR15 papers
- University of MessinaIT10 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Polytechnic University of BariIT7 papers
- University of SussexGB7 papers
- King Abdullah University of Science and TechnologySA6 papers
- FORTH Institute of Electronic Structure and LaserGR5 papers
- Suzhou Institute of Nano-tech and Nano-bionicsCN5 papers
- Chinese Academy of SciencesCN4 papers
5 papers · 1 filter
AIFloodSense: A Global Aerial Imagery Dataset for Semantic Segmentation and Understanding of Flooded Environments
Georgios Simantiris, Konstantinos Bacharidis, Apostolos Papanikolaou +2
Accurate flood detection from visual data is a critical step toward improving disaster response and risk assessment, yet datasets for flood segmentation remain scarce due to the ch…
A logarithmic characterization of Arakelian sets
Grigorios Fournodavlos, Vassili Nestoridis, Spyros Pasias
Arakelian's classical approximation theorem \cite{Ar} gives necessary and sufficient conditions such that functions can be uniformly approximated in (unbounded) closed sets $F\subs…
Future Stability of Tilted Two-Fluid Bianchi I Spacetimes
Grigorios Fournodavlos, Elliot Marshall, Todd A. Oliynyk
We establish the nonlinear stability to the future of tilted two-fluid Bianchi I solutions to the Einstein-Euler equations with positive cosmological constant and linear equations…
The FitzHugh-Nagumo system on undulated cylinders: spontaneous symmetrization and effective system
Georgia Karali, Konstantinos Tzirakis, Israel Michael Sigal
We consider the FitzHugh-Nagumo system on undulated cylindrical surfaces modeling nerve axons. We show that for sufficiently small radii and for initial conditions close to radiall…
Runge-Kutta Physics Informed Neural Networks: Formulation and Analysis
Georgios Akrivis, Charalambos G. Makridakis, Costas Smaragdakis
In this paper we consider time-dependent PDEs discretized by a special class of Physics Informed Neural Networks whose design is based on the framework of Runge--Kutta and related…