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Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review., , , , , and . Sensors, 19 (22): 5012 (2019)Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City., , , and . Sensors, 19 (9): 2048 (2019)The Self-Adaptive Context Learning Pattern: Overview and Proposal., , , , and . CONTEXT, volume 9405 of Lecture Notes in Computer Science, page 91-104. Springer, (2015)A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People., , , and . SASO, page 70-79. IEEE, (2018)Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation., , , , and . MABS, volume 13128 of Lecture Notes in Computer Science, page 153-167. Springer, (2021)Lifelong Machine Learning with Adaptive Multi-Agent Systems., , , , and . ICAART (2), page 275-286. SciTePress, (2017)Auto-organisation d'agents embarqués pour l'apprentissage par démonstration : principes et expérimentations (présentation courte)., , , and . JFSMA, page 91-100. Cépaduès Éditions, (2015)Adaptation dynamique d'un drone aux perturbations environnementales par apprentissage (démonstration)., , , and . JFSMA, page 231-232. Cépaduès, (2018)Deciding when to quit the gambler's ruin game with unknown probabilities., , , , and . Int. J. Approx. Reason., (2021)A Multi-level Density-Based Crowd Simulation Architecture., , and . PAAMS, volume 13955 of Lecture Notes in Computer Science, page 64-75. Springer, (2023)