| Path planning and collision avoidance for autonomous surface vehicles I: a review A Vagale, R Oucheikh, RT Bye, OL Osen, TI Fossen Journal of Marine Science and Technology, 1-15, 2021 | 259 | 2021 |
| Path planning and collision avoidance for autonomous surface vehicles II: a comparative study of algorithms TIF A Vagale, RT Bye, R Oucheikh, OL Osen Journal of Marine Science and Technology 26 (4), 1307-1323, 2021 | 112 | 2021 |
| Advanced driving behavior analytics for an improved safety assessment and driver fingerprinting A Bouhoute, R Oucheikh, K Boubouh, I Berrada IEEE Transactions on Intelligent Transportation Systems 20 (6), 2171-2184, 2018 | 34 | 2018 |
| Deep real-time anomaly detection for connected autonomous vehicles R Oucheikh, M Fri, F Fedouaki, M Hain Procedia Computer Science 177, 456-461, 2020 | 29 | 2020 |
| Label placement challenges in city wayfinding map production—Identification and possible solutions L Harrie, R Oucheikh, Å Nilsson, A Oxenstierna, P Cederholm, L Wei, ... Journal of Geovisualization and Spatial Analysis 6 (1), 16, 2022 | 17 | 2022 |
| Product verification using OCR classification and Mondrian conformal prediction R Oucheikh, T Pettersson, T Löfström Expert systems with applications 188, 115942, 2021 | 17 | 2021 |
| Path planning in dynamic environment using particle swarm optimization algorithm S Alaliyat, R Oucheikh, I Hameed 2019 8th International Conference on Modeling Simulation and Applied …, 2019 | 13 | 2019 |
| Rolling cargo management using a deep reinforcement learning approach R Oucheikh, T Löfström, E Ahlberg, L Carlsson Logistics 5 (1), 10, 2021 | 11 | 2021 |
| Machine learning in cartography L Harrie, G Touya, R Oucheikh, T Ai, A Courtial, KF Richter Cartography and Geographic Information Science 51 (1), 1-19, 2024 | 10 | 2024 |
| AN APPROACH OF OPTIMISATION AND FORMAL VERIFICATION OF WORKFLOW PETRI NETS. OEL HICHAMI, M AL ACHHAB, I BERRADA, R OUCHEIKH, ... Journal of Theoretical & Applied Information Technology 61 (3), 2014 | 10 | 2014 |
| Deep anomaly detector based on spatio-temporal clustering for connected autonomous vehicles R Oucheikh, M Fri, F Fedouaki, M Hain International Conference on Ad Hoc Networks, 201-212, 2020 | 6 | 2020 |
| A personalized learning scheme for internet of vehicles caching S Oualil, R Oucheikh, M El Kamili, I Berrada 2021 IEEE Global Communications Conference (GLOBECOM), 01-06, 2021 | 5 | 2021 |
| ChatGeoAI: Enabling geospatial analysis for public through natural language, with large language models A Mansourian, R Oucheikh ISPRS International Journal of Geo-Information 13 (10), 348, 2024 | 4 | 2024 |
| Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review. K Douaioui, R Oucheikh, O Benmoussa, C Mabrouki Applied System Innovation (ASI) 7 (5), 2024 | 4 | 2024 |
| NLP cross-domain recognition of retail products T Pettersson, R Oucheikh, T Lofstrom Proceedings of the 2022 7th International Conference on Machine Learning …, 2022 | 4 | 2022 |
| The 4-octahedron abstract domain R Oucheikh, I Berrada, O El Hichami International Conference on Networked Systems, 311-317, 2016 | 4 | 2016 |
| A holistic approach for modeling and verification of human driver behavior A Bouhoute, R Oucheikh, Y Zahraoui, I Berrada 2015 International Conference on Wireless Networks and Mobile Communications …, 2015 | 4 | 2015 |
| A feasibility study of applying generative deep learning models for map labeling R Oucheikh, L Harrie Cartography and Geographic Information Science 51 (1), 168-191, 2024 | 3 | 2024 |
| Enhancing Supply Chain Resilience: Rime-clustering And Ensemble Deep Learning Strategies For Late Delivery Risk Prediction. K Douaioui, R Oucheikh, C Mabrouki LogForum 20 (1), 2024 | 3 | 2024 |
| Speaker verification using machine learning for door access control systems S Alaliyat, FF Waaler, K Dyvik, R Oucheikh, I Hameed The International Conference on Artificial Intelligence and Computer Vision …, 2021 | 3 | 2021 |
Robin T. ByeProfessor, Head Cyber-Physical Systems Lab, Academic Director, Dept. of ICT & Natural Sciences, NTNUΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ntnu.no