Feasibility of a neural network-based virtual sensor for vehicle unsprung mass relative velocity estimation E Šabanovič, P Kojis, Š Šukevičius, B Shyrokau, V Ivanov, M Dhaens, ... Sensors 21 (21), 7139, 2021 | 13 | 2021 |
Deep neural network based data-driven virtual sensor in vehicle semi-active suspension real-time control P Kojis, E Šabanovič, V Skrickij Transport 37 (1), 37–50-37–50, 2022 | 7 | 2022 |
Electric vehicle corner architecture: driving comfort evaluation using objective metrics V Zuraulis, P Kojis, R Marotta, Š Šukevičius, E Šabanovič, V Ivanov, ... SAE Technical Paper, 2022 | 2 | 2022 |
Development and Evaluation of Artificial Neural Networks for Real-World Data-Driven Virtual Sensors in Vehicle Suspension E Šabanovič, P Kojis, V Ivanov, M Dhaens, V Skrickij IEEE Access, 2024 | 1 | 2024 |
Review of Integrated Chassis Control Techniques for Automated Ground Vehicles V Skrickij, P Kojis, E Šabanovič, B Shyrokau, V Ivanov Sensors 24 (2), 600, 2024 | 1 | 2024 |
The second generation of electric vehicles: integrated corner solutions P Kojis, A Danilevičius, E Šabanovič, V Skrickij International Conference TRANSBALTICA: Transportation Science and Technology …, 2019 | 1 | 2019 |
Improving Vehicle Stability and Comfort through Active Corner Positioning V Skrickij, E Šabanovič, P Kojis, V Žuraulis, V Ivanov, B Shyrokau SAE Technical Paper, 2024 | | 2024 |
Vibration-Induced Discomfort in Vehicles: A Comparative Evaluation Approach for Enhancing Comfort and Ride Quality CJ Kat, V Skrickij, B Shyrokau, P Kojis, M Dhaens, S Mantovani, ... SAE International Journal of Vehicle Dynamics, Stability, and NVH 8 (2), 2024 | | 2024 |