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Automatic diagnosis of mobile communication networks under imprecise parameters.

, , , and . Expert Syst. Appl., 36 (1): 489-500 (2009)

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Automatic diagnosis of mobile communication networks under imprecise parameters., , , and . Expert Syst. Appl., 36 (1): 489-500 (2009)Comparison of probabilistic models used for diagnosis in cellular networks., , , and . VTC Spring, page 981-985. IEEE, (2006)On the mobile-to-mobile linear time-variant shallow-water acoustic channel response., , and . Int. J. Commun. Syst., (2018)On the Queuing Delay of Time-Varying Channels in Low Earth Orbit Satellite Constellations., , , and . IEEE Access, (2021)Flexible Functional Split and Fronthaul Delay: A Queuing-Based Model., , , and . IEEE Access, (2021)Correction to Än MTL-Based Channel Model for Indoor Broadband MIMO Power Line Communications"., , , and . IEEE J. Sel. Areas Commun., 35 (2): 521 (2017)System for automated diagnosis in cellular networks based on performance indicators., , and . Eur. Trans. Telecommun., 16 (5): 399-409 (2005)LearningCity: Knowledge Generation for Smart Cities., , , , and . CoRR, (2021)Learning of model parameters for fault diagnosis in wireless networks., , , and . Wirel. Networks, 16 (1): 255-271 (2010)Delay and Energy Consumption of MQTT over QUIC: An Empirical Characterization Using Commercial-Off-The-Shelf Devices., , , , , and . Sensors, 22 (10): 3694 (2022)