21 citations · 33 across the 3 of their papers we have counts for
4 papers
A comparative and critical study of EEGNet for fNIRS-driven cognitive load classification
Mehshan Ahmed Khan, Houshyar Asadi, Li Zhang +8
Accurately classifying cognitive load from functional near-infrared spectroscopy (fNIRS) signals remains a significant challenge due to temporal variability, inter-subject differen…
Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing
Camilo Gonzalez Arango, Houshyar Asadi, Mohammad Reza Chalak Qazani +1
Motion Cueing Algorithms (MCAs) encode the movement of simulated vehicles into movement that can be reproduced with a motion simulator to provide a realistic driving experience wit…
Current and future roles of artificial intelligence in retinopathy of prematurity
Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya +9
Retinopathy of prematurity (ROP) is a severe condition affecting premature infants, leading to abnormal retinal blood vessel growth, retinal detachment, and potential blindness. Wh…
Neural Networks for Fast Optimisation in Model Predictive Control: A Review
Camilo Gonzalez, Houshyar Asadi, Lars Kooijman +1
Model Predictive Control (MPC) is an optimal control algorithm with strong stability and robustness guarantees. Despite its popularity in robotics and industrial applications, the…