Abstract: Neural networks decide or predict something by learning examples. Recently, improving equips and enlarging data enable the deep learning to perform complex decision. However, some objects ...

Abstract: The paper presents the application of innovative teaching methods, such as project-based learning, in the course “Digital Electronics” for students-bachelors at the University of Ruse for ...

This project implements the Quine-McCluskey algorithm to simplify Boolean functions with up to 10 variables. It provides a comprehensive suite of functionalities for Boolean algebra, including: Input ...

Boolean functions form the backbone of modern cryptographic systems, serving as essential components in the design of stream ciphers, block ciphers, and other security protocols. Their inherent ...

As seen in earlier articles, the only two possible states of information for digital electronics are true and false. Be it an electric current, a numeric datum, or a variable of any kind, the system’s ...