This study proposes a cattle welfare evaluation method based on multi-modal data fusion, which integrates various data dimensions, such as cattle behavior characteristics, feeding management ...

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, ...

Membership functions for temperature and humidity are defined as follows: When the Ball is at the desired position xd (e = ZE), and the Ball has no tendency to move left or right (edot = ZE), the ...

Introduction: Online question-and-answer (Q&A) platforms are frequently replete with extensive human resource support. This study proposes a novel methodology of a customized large language model (LLM ...

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 ...

ABSTRACT: Navigation of autonomous mobile robots in dynamic and unknown environments needs to take into account different kinds of uncertainties. Type-1 fuzzy logic research has been largely used in ...