2 papers
eess.SY2025
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning
Hendrik Scheidel, Camilo Gonzalez, Houshyar Asadi +4
In motion simulation, motion cueing algorithms are used for the trajectory planning of the motion simulator platform, where workspace limitations prevent direct reproduction of ref…
eess.IV2022
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis
Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal +8
This paper proposes transferred initialization with modified fully connected layers for COVID-19 diagnosis. Convolutional neural networks (CNN) achieved a remarkable result in imag…