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Poster: Online Learning for Reliable Packet-level Cross-Technology Communication.

, , , , , , and . EWSN, page 230-231. ACM, (2019)

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Poster: Online Learning for Reliable Packet-level Cross-Technology Communication., , , , , , and . EWSN, page 230-231. ACM, (2019)ZIGFI: Harnessing Channel State Information for Cross-Technology Communication., , , , and . INFOCOM, page 360-368. IEEE, (2018)StripComm: Interference-Resilient Cross-Technology Communication in Coexisting Environments., , and . INFOCOM, page 171-179. IEEE, (2018)Electronic Nose Feature Extraction Methods: A Review., , , , , , and . Sensors, 15 (11): 27804-27831 (2015)Link Quality Estimation of Cross-Technology Communication: The Case with Physical-Level Emulation., , , , and . ACM Trans. Sens. Networks, 18 (1): 14:1-14:20 (2022)LEGO-Fi: Transmitter-Transparent CTC with Cross-Demapping., , , , and . INFOCOM, page 2125-2133. IEEE, (2019)A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance., , , , , , , and . Sensors, 15 (7): 15198-15217 (2015)WIDE: physical-level CTC via digital emulation., , , and . IPSN, page 49-60. ACM, (2019)Error Scene Restoration with Runtime Logs of Wireless Sensor Networks., , , and . MSN, page 320-324. IEEE Computer Society, (2016)IoT for the Power Industry: Recent Advances and Future Directions with Pavatar., , , , , , , , , and 5 other author(s). SenSys, page 353-354. ACM, (2018)