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Poster: Towards a Cognitive MAC Layer: Predicting the MAC-level Performance in Dynamic WSN using Machine Learning.

, , , and . EWSN, page 214-215. Junction Publishing, Canada / ACM, (2017)

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Towards a cognitive MAC layer: Predicting the MAC-level performance in Dynamic WSN using Machine learning., , , and . CoRR, (2016)Demo: WiSCoP - Wireless Sensor Communication Prototyping Platform., , , and . CoRR, (2016)Hardware Accelerated SDR Platform for Adaptive Air Interfaces., , , , and . CoRR, (2017)Wireless Technology Recognition Based on RSSI Distribution at Sub-Nyquist Sampling Rate for Constrained Devices., , , , , and . Sensors, 17 (9): 2081 (2017)One approach to the development of custom SNMP agents and integration with management systems., , , and . MIPRO, page 557-561. IEEE, (2012)A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and Network layer., , , and . CoRR, (2020)Poster: Towards a Cognitive MAC Layer: Predicting the MAC-level Performance in Dynamic WSN using Machine Learning., , , and . EWSN, page 214-215. Junction Publishing, Canada / ACM, (2017)End-to-End Learning From Spectrum Data: A Deep Learning Approach for Wireless Signal Identification in Spectrum Monitoring Applications., , , and . IEEE Access, (2018)End-to-end Learning from Spectrum Data: A Deep Learning approach for Wireless Signal Identification in Spectrum Monitoring applications., , , and . CoRR, (2017)Demo: WiSCoP - Wireless Sensor Communication Prototyping Platform., , , and . EWSN, page 246-247. Junction Publishing, Canada / ACM, (2017)