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A machine learning technique in a multi-agent framework for online outliers detection in Wireless Sensor Networks.

, , , , and . IECON, page 688-693. IEEE, (2015)

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Detection and accommodation of outliers in Wireless Sensor Networks within a multi-agent framework., , and . Appl. Soft Comput., (2016)Resilient Supervision System over WSAN - A Distributed Multi-Agent Architecture., , , , , and . SENSORNETS, page 119-126. SciTePress, (2014)Prototype and Graphical Interface for Selective Exhaled Air Acquisition., , , , and . BIODEVICES, page 216-219. SciTePress, (2013)Design of Robust CMOS Amplifiers Combining Advanced Low-Voltage and Feedback Techniques., , , , and . DoCEIS, volume 372 of IFIP Advances in Information and Communication Technology, page 421-428. Springer, (2012)Security challenges in SCADA systems over Wireless Sensor and Actuator Networks., , , and . ICUMT, page 363-368. IEEE, (2016)Outliers detection methods in wireless sensor networks., , and . Artif. Intell. Rev., 52 (4): 2411-2436 (2019)Multi-agent approach for resilience enhancement in wireless sensor and actuator networks., , and . IFSA-SCIS, page 1-6. IEEE, (2017)A machine learning technique in a multi-agent framework for online outliers detection in Wireless Sensor Networks., , , , and . IECON, page 688-693. IEEE, (2015)A Multi-Agent Middleware for Resilience Enhancement in Heterogeneous Control Systems., , and . ICIT, page 988-993. IEEE, (2019)Sensor network integration for a medical device using CDG., , , , and . M&N, page 1-6. IEEE, (2019)