8 citations · 10 across the 4 of their papers we have counts for
4 papers
Mathematical Modeling of Cancer-Bacterial Therapy: Analysis and Numerical Simulation via Physics-Informed Neural Networks
Ayoub Farkane, David Lassounon
Bacterial cancer therapy exploits anaerobic bacteria's ability to target hypoxia tumor regions, yet the interactions among tumor growth, bacterial colonization, oxygen levels, immu…
Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control
Ayoub Farkane, Mohamed Boutayeb, Mustapha Oudani +1
Accurate knowledge of the state variables in a dynamical system is critical for effective control, diagnosis, and supervision, especially when direct measurements of all states are…
PINN-Obs: Physics-Informed Neural Network-Based Observer for Nonlinear Dynamical Systems
Ayoub Farkane, Mohamed Boutayeb, Mustapha Oudani +1
State estimation for nonlinear dynamical systems is a critical challenge in control and engineering applications, particularly when only partial and noisy measurements are availabl…
EPINN-NSE: Enhanced Physics-Informed Neural Networks for Solving Navier-Stokes Equations
Ayoub Farkane, Mounir Ghogho, Mustapha Oudani +1
Fluid mechanics is a fundamental field in engineering and science. Solving the Navier-Stokes equation (NSE) is critical for understanding the behavior of fluids. However, the NSE i…