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A Novel Classification for EEG Based Four Class Motor Imagery Using Kullback-Leibler Regularized Riemannian Manifold.

, , , , and . HealthCom, page 1-5. IEEE, (2018)

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Reconfigurable dual mode IEEE 802.15.4 digital baseband receiver for diverse IoT applications., , , , and . WF-IoT, page 389-394. IEEE Computer Society, (2016)A Real-Time Health 4.0 Framework with Novel Feature Extraction and Classification for Brain-Controlled IoT-Enabled Environments., , , and . Neural Comput., 31 (10): 1915-1944 (2019)IoT enabled communication device with mixer less low complex QPSK based transmitter architecture for low frequency applications., , and . WPMC, page 316-321. IEEE, (2014)A novel system architecture for brain controlled IoT enabled environments., , and . Healthcom, page 1-5. IEEE, (2017)A Secure Phase-Encrypted IEEE 802.15.4 Transceiver Design., , , and . IEEE Trans. Computers, 66 (8): 1421-1427 (2017)A Residual Phase Noise Compensation Method for IEEE 802.15.4 Compliant Dual-Mode Receiver for Diverse Low Power IoT Applications., , , , , and . IEEE Internet Things J., 6 (2): 3437-3447 (2019)A Novel Feature Extraction Framework for Four Class Motor Imagery Classification using Log Determinant Regularized Riemannian Manifold., and . EMBC, page 6754-6757. IEEE, (2019)Performance analysis of hybrid multiple radio IoT architecture for ubiquitous connectivity., , , , , , and . WF-IoT, page 198-203. IEEE Computer Society, (2015)A Novel Classification for EEG Based Four Class Motor Imagery Using Kullback-Leibler Regularized Riemannian Manifold., , , , and . HealthCom, page 1-5. IEEE, (2018)