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Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems.

, , , , and . IEEE Access, (2022)

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An architecture for adaptive fuzzy control in industrial environments., , , , and . Comput. Ind., 62 (3): 364-373 (2011)Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems., , , , and . IEEE Access, (2022)An olfactory-based robot swarm navigation method., , , , and . ICRA, page 4958-4963. IEEE, (2010)Supporting Operational Decisions on Desalination Plants from Process Modelling and Simulation to Monitoring and Automated Control with Machine Learning., , , , , , , , , and 1 other author(s). ICDSST, volume 384 of Lecture Notes in Business Information Processing, page 150-164. Springer, (2020)Support Vector Machines and Features for Environment Perception in Mobile Robotics., , , , and . Computational Intelligence Paradigms, volume 137 of Studies in Computational Intelligence, Springer, (2008)Real-time architecture for mobile assistant robots., , , , and . ETFA, page 965-972. IEEE, (2007)Cooperative chemical concentration map building using Decentralized Asynchronous Particle Swarm Optimization based search by mobile robots., , , , and . IROS, page 4175-4180. IEEE, (2010)Player/Stage simulation of olfactory experiments., , and . IROS, page 1120-1125. IEEE, (2010)Chemical concentration map building through bacterial foraging optimization based search algorithm by mobile robots., , , , and . SMC, page 3242-3249. IEEE, (2010)Toward Chemical-Trail Following Robots., , and . ICMLA, page 489-494. IEEE Computer Society, (2008)