Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

If you are planning a trip through several cities and want to find the shortest route, you resort to algorithms, a well-defined sequence of deterministic operations. This article accompanies the ...

Abstract: This letter is part of a three-part tutorial that focuses on joint radar-communication system design for vehicular networks. As Part I of the tutorial, this letter reviews the fundamental ...

A sophisticated, cross-platform keylogger written in Python with advanced features including AES-256 encryption, silent background operation, automatic startup/restart capabilities, and daily log ...