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Eldar Šabanovič
Eldar Šabanovič
Senior Researcher, Vilnius Gediminas technical university
Bestätigte E-Mail-Adresse bei vilniustech.lt - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1352020
Autonomous road vehicles: recent issues and expectations
V Skrickij, E Šabanovič, V Žuraulis
IET Intelligent Transport Systems 14 (6), 471-479, 2020
442020
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
362022
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
282021
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
262021
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
232019
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
182021
Technological measures of forefront road identification for vehicle comfort and safety improvement
V Žuraulis, V Surblys, E Šabanovič
VGTU Press, 2019
182019
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
142024
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
102022
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
82022
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
72021
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
52015
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
42024
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
22023
The second generation of electric vehicles: integrated corner solutions
P Kojis, A Danilevičius, E Šabanovič, V Skrickij
International Conference TRANSBALTICA: Transportation Science and Technology …, 2021
22021
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
22017
Sąsūkos dirbtinių neuronų tinklų įgyvendinimas spartinančiuosiuose įrenginiuose vaizdams analizuoti realiuoju laiku
E Šabanovič
UAB" BMK leidykla", 2019
12019
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
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
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