Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
A lightweight Python / Tkinter GUI tool for parsing Ribbon SBC Core Call Detail Records (CDRs) into a structured, human‑readable format. The tool supports START, ATTEMPT, and STOP CDR types and is ...
Implementation of ITU-R BS.1770-4. Allows control over gating block size and frequency weighting filters for additional control. For full details on the implementation see our paper with a summary in ...
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