| Identification of road-surface type using deep neural networks for friction coefficient estimation E Šabanovič, V Žuraulis, O Prentkovskis, V Skrickij Sensors 20 (3), 612, 2020 | 106 | 2020 |
| Autonomous road vehicles: recent issues and expectations V Skrickij, E Šabanovič, V Žuraulis IET Intelligent Transport Systems 14 (6), 471-479, 2020 | 35 | 2020 |
| Deep learning based virtual point tracking for real-time target-less dynamic displacement measurement in railway applications D Shi, E Šabanovič, L Rizzetto, V Skrickij, R Oliverio, N Kaviani, Y Ye, ... Mechanical Systems and Signal Processing 166, 108482, 2022 | 24 | 2022 |
| Industry 4.0: methodologies, tools and applications A Romanovs, I Pichkalov, E Sabanovic, J Skirelis 2019 Open conference of electrical, Electronic and Information Sciences …, 2019 | 21 | 2019 |
| Variability of gravel pavement roughness: An analysis of the impact on vehicle dynamic response and driving comfort V Žuraulis, H Sivilevičius, E Šabanovič, V Ivanov, V Skrickij Applied Sciences 11 (16), 7582, 2021 | 19 | 2021 |
| Visual measurement system for wheel–rail lateral position evaluation V Skrickij, E Šabanovič, D Shi, S Ricci, L Rizzetto, G Bureika Sensors 21 (4), 1297, 2021 | 18 | 2021 |
| Technological measures of forefront road identification for vehicle comfort and safety improvement V Žuraulis, V Surblys, E Šabanovič VGTU Press, 2019 | 16 | 2019 |
| 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 |
| Application of human visual system models to lcd image analysis E Šabanovič, D Matuzevičius 2015 IEEE 3rd Workshop on Advances in Information, Electronic and Electrical …, 2015 | 5 | 2015 |
| 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 |
| A robust identification of the protein standard bands in two-dimensional electrophoresis gel images A Serackis, D Matuzevičius, D Navakauskas, E Šabanovič, A Katkevičius, ... Electrical, Control and Communication Engineering 13 (1), 63-68, 2017 | 2 | 2017 |
| 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 |
| Investigation of deep neural networks for hypoid gear signal classification to identify anomalies T Žvirblis, L Petkevičius, P Vaitkus, E Šabanovič, V Skrickij, A Kilikevičius 2020 IEEE 8th Workshop on Advances in Information, Electronic and Electrical …, 2021 | 1 | 2021 |
| 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 |
| Sąsūkos dirbtinių neuronų tinklų įgyvendinimas spartinančiuosiuose įrenginiuose vaizdams analizuoti realiuoju laiku E Šabanovič UAB" BMK leidykla", 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 |
| Freight rate and demand forecasting in road freight transportation using econometric and artificial intelligence methods E Liachovičius, E Šabanovič, V Skrickij Transport 38 (4), 231–242-231–242, 2023 | | 2023 |
| Application of convolutional deep neural network for human detection in through the wall radar signals D Navakauskas, J Skirelis, E Šabanovič, M Kazlauskas, B Levitas, ... DAMSS 2022: 13th conference on data analysis methods for software systems …, 2022 | | 2022 |
Viktor SkrickijVilnius Gediminas technical universityVerified email at vgtu.lt
