The present work presents the comparative assessment of four glucose prediction models
for patients with type 1 diabetes mellitus (T1DM) using data from sensors monitoring blood …

When a fuzzy wavelet neural network (FWNN) has a large number of neurons in its
consequent part, it may not be able to effectively follow fast variations in the process. This …

Transient stability assessment (TSA) of large power systems by the conventional method is a
time consuming task. For each disturbance many nonlinear equations should be solved that …

In this paper, an efficient approach of combining Takagi–Sugeno–Kang fuzzy system with
wavelet based neural network is presented. The model replaces the constant or a linear …

This paper aims to propose a stable fuzzy wavelet neural-based adaptive power system
stabilizer (SFWNAPSS) for stabilizing the inter-area oscillations in multi-machine power …

In this study, we introduce an indirect adaptive fuzzy wavelet neural controller (IAFWNC) as
a power system stabilizer to damp inter-area modes of oscillations in a multi-machine power …

Recent researches have demonstrated that the Fuzzy Wavelet Neural Networks (FWNNs)
are an efficient tool to identify nonlinear systems. In these structures, features related to fuzzy …

A bilateral teleoperation controller should make the system stable and achieve optimal
performance in the presence of time delays, plant disturbances, measurement noise …

This paper presents a wavelet neural network technique for the inter turn short-circuit fault
detection and location of the induction machine at non stationary state. This technique is …

This paper proposes a Motor Current Signature Analysis technique to diagnose the stator
inter turn fault in induction motor using wavelet transform and Support Vector Machine as …