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 ...

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 ...

Edge computing devices, devices located in proximity to the source of data instead of in large data centers, could perform computations locally. This could reduce latency, particularly in real-time ...

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, ...

It's a Java-based application that provides functions and tools for designing and simulating fuzzy logic systems. It offers a user-friendly interface for creating and testing fuzzy logic systems by ...

Abstract: There is a growing attention to the theory of fuzzy-logic and its applications. Efficient hardware design of the fuzzy-inference engine has become necessary for high-performance applications ...

Readr is a python library using which programmers can create and compare neural networks capable of supervised pattern recognition without knowledge of machine learning. These networks are fuzzy-neuro ...