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Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems.

, , , , , , and . ICT, volume 3124 of Lecture Notes in Computer Science, page 207-213. Springer, (2004)

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Condition monitoring of 3G cellular networks through competitive neural models., , , , and . IEEE Trans. Neural Networks, 16 (5): 1064-1075 (2005)SatSysSim: A Novel Event-Driven Simulation Framework for DVB/RCS2 Performance Characterization., , , , and . IEEE Access, (2022)Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems., , , , , , and . ICT, volume 3124 of Lecture Notes in Computer Science, page 207-213. Springer, (2004)On the performance of digital systems in α-F fading and non-Gaussian noise channels., , , , , and . Digit. Signal Process., (2022)A Multivariate Time-Series Based Approach for Quality Modeling in Wireless Networks., , , , and . Sensors, 21 (6): 2017 (2021)Time Series Clustering for Anomaly Detection Using Competitive Neural Networks., and . WSOM, volume 5629 of Lecture Notes in Computer Science, page 28-36. Springer, (2009)EQOS Call Admission and Scheduler Parameter Evaluation for Geran., , and . PIMRC, page 1-5. IEEE, (2006)Novelty Detection in Time Series Using Self-Organizing Neural Networks: A Comprehensive Evaluation., and . Neural Processing Letters, 47 (2): 717-744 (2018)Simulation of IEEE 1902.1 (RuBee) protocol for communication with buried assets., , , , , and . PIMRC, page 1-6. IEEE, (2017)Performance of the a priori and a posteriori QR-LSL algorithms in a limited precision environment., , and . ICASSP, page 2337-2340. IEEE Computer Society, (1997)