Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Abstract: In this article, the Kalman filter design problem is investigated for linear discrete-time systems under binary encoding schemes. Under such a scheme, the local information is quantized into ...

Abstract: Deep neural networks (DNNs) have enabled state-of-the-art performance across various applications. However, their deployment is often hindered by high energy demands. One solution is to ...

Curious how the Caesar Cipher works? This Python tutorial breaks it down in a simple, beginner-friendly way. Learn how to encode and decode messages using one of the oldest and most famous encryption ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Artificial Intelligence (AI) is advancing rapidly, with today’s systems able to imitate various human cognitive functions such as speech recognition, music composition, disease diagnosis, and even ...

Perfect for network protocols, game state serialization, configuration files, and any application requiring efficient, validated data handling.

Imagine if you could hide a secret message within a photo, and no one could tell by just looking at it. This is the magic of steganography—a powerful technique that allows us to embed secret ...