Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

Abstract: The sixth-generation (6G) wireless communication system enables advanced applications while simultaneously presenting new challenges in fulfilling the demands of these emerging applications, ...

Academics have developed a maximum power point tracking (MPPT) algorithm for PV systems that combines incremental conductance with fuzzy logic control. The inputs used are the sum of conductance and ...

This paper aims at the control problem of nonlinear systems with uncertainty in general, and avoids the deviation of sliding mode controller from the preset constraint region during the convergence ...

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: The integration of IoT with fuzzy logic provides innovative solutions for various medical applications. IoT enables seamless connectivity between medical devices, real-time monitoring, and ...

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, ...

ABSTRACT: Fuzzy modeling techniques have been widely used to solve the uncertainty problems. A diagnosis of coronary heart disease (CHD) consists of some parameters numerical value of lingustics data.