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Cooperative detection of primary user emulation attacks based on channel-tap power in mobile cognitive radio networks., , , , , and . IJAHUC, 15 (4): 263-274 (2014)Using Deep Learning Neural Networks and Candlestick Chart Representation to Predict Stock Market., , , , and . CoRR, (2019)naiveBayesCall: An Efficient Model-Based Base-Calling Algorithm for High-Throughput Sequencing., and . Journal of Computational Biology, 18 (3): 365-377 (2011)Decomposition methods for linear support vector machines., , , and . ICASSP (4), page 868-871. IEEE, (2003)Radius Margin Bounds for Support Vector Machines with the RBF Kernel., , , , and . Neural Computation, 15 (11): 2643-2681 (2003)naiveBayesCall: An Efficient Model-Based Base-Calling Algorithm for High-Throughput Sequencing., and . RECOMB, volume 6044 of Lecture Notes in Computer Science, page 233-247. Springer, (2010)Advanced Spectrum Sensing for OFDM-Based Cognitive Radio Networks Using Cyclic Prefix., , and . VTC Fall, page 1-5. IEEE, (2014)Iterative Synchronization-Assisted Detection of OFDM Signals in Cognitive Radio Systems., , , and . IEEE Trans. Vehicular Technology, 63 (4): 1633-1644 (2014)Multi-threaded collision-aware global routing with bounded-length maze routing., , , and . DAC, page 200-205. ACM, (2010)Channel-Based Detection of Primary User Emulation Attacks in Cognitive Radios., , , , and . VTC Spring, page 1-5. IEEE, (2012)