| Learning to localise automated vehicles in challenging environments using inertial navigation systems (Ins) U Onyekpe, V Palade, S Kanarachos Applied Sciences 11 (3), 1270, 2021 | 32 | 2021 |
| WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments U Onyekpe, V Palade, A Herath, S Kanarachos, ME Fitzpatrick Engineering Applications of Artificial Intelligence 105 (104421), 2021 | 27 | 2021 |
| Vehicular Localisation at High and Low Estimation Rates During GNSS Outages: A Deep Learning Approach U Onyekpe, S Kanarachos, V Palade, SRG Christopoulos Deep Learning Applications, Volume 2, 229-248, 2020 | 20 | 2020 |
| A quaternion gated recurrent unit neural network for sensor fusion U Onyekpe, V Palade, S Kanarachos, SRG Christopoulos Information 12 (3), 117, 2021 | 19 | 2021 |
| IO-VNBD: Inertial and Odometry Benchmark Dataset for Ground Vehicle Positioning U Onyekpe, V Palade, S Kanarachos, A Szkolnik Data in Brief, 2021 | 19 | 2021 |
| Learning uncertainties in wheel odometry for vehicular localisation in GNSS deprived environments U Onyekpe, V Palade, S Kanarachos, SRG Christopoulos 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 16 | 2020 |
| Deep Learning Applications, Volume 3 MA Wani, TM Khoshgoftaar, V Palade Springer, 2021 | 15 | 2021 |
| Machine learning accelerated discovery of promising thermal energy storage materials with high heat capacity J Ojih, U Onyekpe, A Rodriguez, J Hu, C Peng, M Hu ACS applied materials & interfaces 14 (38), 43277-43289, 2022 | 14 | 2022 |
| Localisation and mapping of self-driving vehicles based on fuzzy K-means clustering: A non-semantic approach A Charroud, A Yahyaouy, K El Moutaouakil, U Onyekpe 2022 International Conference on Intelligent Systems and Computer Vision …, 2022 | 8 | 2022 |
| Rapid localization and mapping method based on adaptive particle filters A Charroud, K El Moutaouakil, A Yahyaouy, U Onyekpe, V Palade, ... Sensors 22 (23), 9439, 2022 | 6 | 2022 |
| Explainable machine learning for autonomous vehicle positioning using shap U Onyekpe, Y Lu, E Apostolopoulou, V Palade, EU Eyo, S Kanarachos Explainable AI: Foundations, Methodologies and Applications, 157-183, 2022 | 6 | 2022 |
| Vehicular visible light positioning using receiver diversity with machine learning AA Mahmoud, Z Ahmad, U Onyekpe, Y Almadani, M Ijaz, OCL Haas, ... Electronics 10 (23), 3023, 2021 | 5 | 2021 |
| Localization and Mapping for Self-Driving Vehicles: A Survey A Charroud, K El Moutaouakil, V Palade, A Yahyaouy, U Onyekpe, ... Machines 12 (2), 118, 2024 | 2 | 2024 |
| R-WhONet: Recalibrated Wheel Odometry Neural Network for Vehicular Positioning using Transfer Learning U Onyekpe, A Szkolnik, V Palade, S Kanarachos, ME Fitzpatrick arXiv preprint arXiv:2209.05877, 2022 | 1 | 2022 |
| Data on One-dimensional Vertical Free Swelling Potential of Soils and Related Soil Properties E Eyo U, U Onyekpe Data in Brief, 107608, 2021 | 1 | 2021 |
| Data on One-dimensional Vertical Free Swelling Potential of Soils and Related Soil Properties E Eyo U, U Onyekpe arXiv e-prints, arXiv: 2110.04941, 2021 | | 2021 |
| Learning Uncertainties in Ego-motion Sensors for the Localisation of Autonomous Vehicles in GNSS-deprived Environments U Onyekpe Coventry University, 2021 | | 2021 |
| Vehicular Visible Light Positioning Using Receiver Diversity with Machine Learning. Electronics 2021, 10, 3023 AA Mahmoud, Z Ahmad, U Onyekpe, Y Almadani, M Ijaz, OCL Haas, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem U Onyekpe, S Kanarachos, ME Fitzpatrick International Conference on Sustainable Materials and Energy Technologies, 2019, 2019 | | 2019 |
| A Quaternion Gated Recur-rent Unit Neural Network for Sensor Fusion. Information 2021, 12, x U Onyekpe, V Palade, S Kanarachos, SRG Christopoulos Trans. Geosci. Remote Sens 52, 5693-5703, 2014 | | 2014 |
Vasile PaladeProfessor of Artificial Intelligence and Data Science, Coventry University在 coventry.ac.uk 的电子邮件经过验证
