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 | 112 | 2020 |
Autonomous road vehicles: recent issues and expectations V Skrickij, E Šabanovič, V Žuraulis IET Intelligent Transport Systems 14 (6), 471-479, 2020 | 39 | 2020 |
Diagnostic features for the condition monitoring of hypoid gear utilizing the wavelet transform V Skrickij, M Bogdevičius, R Junevičius Applied Acoustics 106, 51-62, 2016 | 33 | 2016 |
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 | 26 | 2022 |
Analytical hierarchy process method and data envelopment analysis application in terrain vehicle selection S Starčević, N Bojović, R Junevičius, V Skrickij Transport 34 (5), 600-616, 2019 | 24 | 2019 |
The dynamic behaviour of a wheel flat of a railway vehicle and rail irregularities M Bogdevičius, R Žygienė, S Dailydka, V Bartulis, V Skrickij, S Pukalskas Transport 30 (2), 217-232, 2015 | 21 | 2015 |
MCDM evaluation of asset-based road freight transport companies using key drivers that influence the enterprise value E Liachovičius, V Skrickij, A Podviezko Sustainability 12 (18), 7259, 2020 | 20 | 2020 |
Vehicle gearbox dynamics: centre distance influence on mesh stiffness and spur gear dynamics V Skrickij, M Bogdevičius Transport 25 (3), 278-286, 2010 | 20 | 2010 |
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 | 19 | 2021 |
Investigation of cavitation process in monotube shock absorber V Skrickij, D Savitski, V Ivanov, P Skačkauskas International Journal of Automotive Technology 19, 801-810, 2018 | 15 | 2018 |
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 | 14 | 2021 |
The challenges and opportunities for road freight transport E Liachovičius, V Skrickij TRANSBALTICA XI: Transportation Science and Technology: Proceedings of the …, 2020 | 10 | 2020 |
A model to evaluate supply chain technology implementation influence on organizational performance Z Soltany, R Rostamzadeh, V Skrickij Transport 33 (3), 779-792, 2018 | 10 | 2018 |
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 | 8 | 2022 |
Experimental study of the influence of friction surfaces cooling parameters on the efficiency of the braking system of a railway vehicle operation. MI Gorbunov, O Prosvirova, M Kovtanets, V Nozhenko, G Bureika, ... | 7 | 2018 |
Negative impacts from disruption of road infrastructure element performance on dependent subsystems: Methodological framework D Rehak, D Patrman, P Foltin, Z Dvořák, V Skrickij Transport 36 (6), 510-524, 2021 | 6 | 2021 |
Local determinants of driving behaviours: Installation Theory interventions to reduce fuel consumption among truck drivers in Colombia PY Slotkus, S Lahlou, S Ortega, V Skrickij Transport. 35 (6), 616-634, 2020 | 6 | 2020 |
Investigation of the hydrodynamic processes of a centrifugal pump in a geothermal system M Bogdevičius, J Janutėnienė, R Didžiokas, S Razmas, V Skrickij, ... Transport. 33 (1), 223-230, 2018 | 6 | 2018 |
Investigation of dynamic processes in ball bearings with defects M Bogdevičius, V Skrickij Solid State Phenomena 198, 651-656, 2013 | 6 | 2013 |