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Impact of Primary User Activity Statistics in Cognitive Vehicular Networks.

, , , , and . IEEE Trans. Veh. Technol., 71 (3): 2859-2873 (2022)

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PU-DetNet: Deep Unfolding Aided Smart Sensing Framework for Cognitive Radio., , , , and . IEEE Access, (2022)Deep Learning aided Energy Efficient Band Assignment in Multiband Heterogeneous Networks., , and . CCNC, page 690-691. IEEE, (2023)Prediction for the Second Wave of COVID-19 in India., , , , and . BDA, volume 12581 of Lecture Notes in Computer Science, page 134-150. Springer, (2020)VeCEn: A Data Acquisition Framework for Heterogeneous Vehicular Networks., , , , and . COMSNETS, page 60-65. IEEE, (2023)Novel Crash Prevention Framework for C-V2X using Deep Learning., , , , , and . COMSNETS, page 7-12. IEEE, (2023)On the estimation of primary user activity statistics for long and short time scale models in cognitive radio., , and . Wirel. Networks, 25 (8): 5099-5111 (2019)Performance Analysis of Improved Energy Detection in Full Duplex Non-Time-Slotted Cognitive Radio., , and . ANTS, page 1-6. IEEE, (2018)Mathematical Models for the Accuracy of the Estimated Distribution of Primary Activity Times in Dynamic Spectrum Access Systems., , and . WCNC Workshops, page 1-5. IEEE, (2020)Artificial neural network based hybrid spectrum sensing scheme for cognitive radio., , and . PIMRC, page 1-7. IEEE, (2017)LSTM Autoencoder aided Estimation of Primary Activity Statistics under Imperfect Sensing., , , , and . COMSNETS, page 242-245. IEEE, (2021)