4 papers
Generalizability of Learning-based Occupancy Detection in Residential Buildings (extended version)
Mahsa Farjadnia, Katayoun Eshkofti, Albin Apell +4
This paper investigates non-intrusive occupancy detection methods for residential buildings using environmental sensor data from the KTH Live-In Lab in Stockholm, Sweden. Three mac…
Curriculum-Learned Vanishing Stacked Residual PINNs for Hyperbolic PDE State Reconstruction
Katayoun Eshkofti, Matthieu Barreau
Modeling distributed dynamical systems governed by hyperbolic partial differential equations (PDEs) remains challenging due to discontinuities and shocks that hinder the convergenc…
Modeling and Physics-Enhanced Fault Detection in Wastewater Pump Stations
Katayoun Eshkofti, Henrik Sandberg, Mikael Nilsson +1
Monitoring wastewater pump stations is essential because they are critical infrastructure. However, monitoring is still often performed manually due to the lack of suitable algorit…
Vanishing Stacked-Residual PINN for State Reconstruction of Hyperbolic Systems
Katayoun Eshkofti, Matthieu Barreau
In a more connected world, modeling multi-agent systems with hyperbolic partial differential equations (PDEs) offers a compact, physics-consistent description of collective dynamic…