There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …

In recent years, the appearance of the broad learning system (BLS) is poised to
revolutionize conventional artificial intelligence methods. It represents a step toward building …

This article investigates the finite-time secure filter design of fuzzy switched cyber-physical
systems equipped with a resource-constraint network that may undergo false data injection …

Resilient fuzzy stabilization is capable of providing much less conservative results than
conventional fuzzy stabilization while the alert threshold condition should be always …

This article focuses on the optimization control issue for a family of nonlinear plants by
Takagi–Sugeno (T–S) fuzzy approach with actuator failure. First, considering unmeasurable …

This article investigates the nonfragile synchronization issue for a class of discrete-time
Takagi–Sugeno (T–S) fuzzy Markov jump systems. With regard to the T–S fuzzy model, a …

Deep learning as performed by artificial deep neural networks (DNNs) has achieved great
successes recently in many important areas that deal with text, images, videos, graphs, and …

Nonlinear system identification is an extremely broad topic, since every system that is not
linear is nonlinear. That makes it impossible to give a full overview of all aspects of the fi eld …

Objective The objective was to provide a literature review on perceptibility and acceptability
thresholds in dentistry and corresponding recommendations. Overview A literature review …

This article addresses the design issue of fuzzy asynchronous fault detection filter (FAFDF)
for a class of nonlinear Markov jump systems by an event-triggered (ET) scheme. The ET …