Predicting Vehicles' Positions Using Roadside Units: A Machine-Learning Approach. - Mamoudou Sangaré; Soumya Banerjee 002; Paul Mühlethaler; Samia Bouzefrane 001 (CSCN, 2018)

Predicting transmission success with Support Vector Machine in VANETs. - Mamoudou Sangaré; Soumya Banerjee 002; Paul Mühlethaler; Samia Bouzefrane 001 (PEMWN, 2018)

Comparing different Machine-Learning techniques to predict Vehicles' Positions using the received Signal Strength of periodic messages. - Mamoudou Sangaré; Dinh-Van Nguyen; Soumya Banerjee 002; Paul Mühlethaler; Samia Bouzefrane 001 (WMNC, 2019)

Graph Based Subjective Matching of Trusted Strings and Blockchain Based Filtering for Connected Vehicles. - Mamoudou Sangaré; Soumya Banerjee 002; Paul Mühlethaler; Le Vinh Thinh (MSPN, 2020)

Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning. - Mamoudou Sangaré; Sharut Gupta; Samia Bouzefrane 001; Soumya Banerjee 002; Paul Mühlethaler (Expert Syst. Appl., 2021)

Exploring Prediction Strategies in Vehicular Networks Through Machine Learning Techniques and Hybrid Intelligence. (Exploration des stratégies de prédiction dans les réseaux véhiculaires via l'apprentissage automatique et l'intelligence hybride). - Mamoudou Sangaré (2022)