ABSTRACT: Voltage stability is a major challenge for African industrial power networks, where highly inductive loads and variable consumption profiles compromise supply quality. This article presents ...

A global team led by Michal Holčapek, professor of analytical chemistry at the Faculty of Chemical Technology, UPCE, Pardubice (Czech Republic), and Jakub Idkowiak, a research associate from KU Leuven ...

Multiplying two analog signals involves the use of analog multipliers, usually implemented by using log and antilog circuit blocks or the Gilbert cell. Today, the most common technique used to ...

In financial compliance, even small mismatches in data can have outsized consequences. Whether it's reviewing sanctions alerts, verifying customer names, or screening payments, organisations rely on ...

Abstract: Fuzzy logic is a topic traditionally taught in artificial intelligence, machine learning, and robotics courses. Students receive the necessary mathematical and theoretical foundation in ...

ABSTRACT: This has led to the rise of a paradigm shift in machine learning called federated learning (FL) that allows for decentralized model training over distributed data sources. With FL, devices, ...

Have you ever needed a stopwatch to time your workouts, cooking sessions, or coding challenges? In this article, we will build a simple yet functional stopwatch using Python and CustomTkinter, a ...

Abstract: This paper presents the development of a Fuzzy Logic Obstacle Avoidance system using LiDAR sensor. As obstacle avoidance system is imperative for the save movement of a mobile robot in a ...