Abstract: While Wireless Sensor Networks (WSN) offer potentials, their limited programmability and energy-limitations determine operational challenges. Thus, a TinyIPFIX-based system was designed, ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
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