Amplitude fluctuations in the averaged photic driving in the electroencephalogram correspond to burst occurrence in single trials. - In: Biomedical engineering, ISSN 1862-278X, Bd. 68 (2023), S. 209
https://doi.org/10.1515/bmte-2023-2001
Detailed anatomical neck model for electromagnetic simulations. - In: Biomedical engineering, ISSN 1862-278X, Bd. 68 (2023), S. 181
https://doi.org/10.1515/bmte-2023-2001
Exploring the orientation dependency of nondipolar frequency shifts in magnetic resonance imaging: an approach to unveil chemical exchange and tissue microstructure in the brain. - In: Biomedical engineering, ISSN 1862-278X, Bd. 68 (2023), S. 166
https://doi.org/10.1515/bmte-2023-2001
Deep learning enables a novel magnetic resonance imaging contrast that unveils chemical and microstructural brain tissue changes through nondipolar larmor frequency shifts. - In: Biomedical engineering, ISSN 1862-278X, Bd. 68 (2023), S. 160
https://doi.org/10.1515/bmte-2023-2001
Mapping the anisotropy of tissue magnetic susceptibility from single-orientation magnetic resonance imaging. - In: Biomedical engineering, ISSN 1862-278X, Bd. 68 (2023), S. 156
https://doi.org/10.1515/bmte-2023-2001
Real-time smartphone-assisted EEG electrode localization and augmented reality application. - In: Biomedical engineering, ISSN 1862-278X, Bd. 68 (2023), S. 153
https://doi.org/10.1515/bmte-2023-2001
Cobalt ferrite nanoparticles as thermal markers on lateral flow assays. - In: Biomedical engineering, ISSN 1862-278X, Bd. 68 (2023), S. 126
https://doi.org/10.1515/bmte-2023-2001
Comparison of a 3D co-culture and a mini organ culture by testing barium sulphate and titanium dioxide nanoparticle aerosols. - In: Naunyn-Schmiedeberg's archives of pharmacology, ISSN 1432-1912, Bd. 396 (2023), 1, P055, S. S37
https://doi.org/10.1007/s00210-023-02397-6
Novel MRI technique reveals subtypes of paramagnetic rim lesions and predicts 5-year rim disappearance. - In: Multiple sclerosis journal, ISSN 1477-0970, Bd. 29 (2023), 2, P031
https://doi.org/10.1177/13524585231169437
Enhanced fuzzy-MFC-based traction control system for electric vehicles. - In: IEEE Xplore digital library, ISSN 2473-2001, (2023), insges. 6 S.
Modern vehicles require the installation of motion control systems to ensure driving safety. In electric vehicles, these systems are convenient to be developed and applied due to the better response of the electric motor compared to the internal combustion engine. Therefore, the development of traction control systems for electric vehicles is of great interest to many researchers. In this study, a wheel slip control algorithm for electric vehicles is proposed by considering the vehicle as an equivalent inertial system. Based on the monotonicity of the algorithm, a fuzzy controller is also incorporated in the study so that the wheel slip control can adapt to the actual road conditions. Its performance is verified by comparative simulations with baseline anti-slip methods for different road conditions and vehicle velocities.
https://doi.org/10.1109/VPPC60535.2023.10403162