Reliable and precise multi-step-ahead flood forecasts are crucial and beneficial to decision
makers for mitigating flooding risks. For a river basin undergoing fast urban development, its …

A deep convolutional fuzzy system (DCFS) on a high-dimensional input space is a multilayer
connection of many low-dimensional fuzzy systems, where the input variables to the low …

Recently, speech emotion recognition (SER) has become an active research area in speech
processing, particularly with the advent of deep learning (DL). Numerous DL-based methods …

Semi-active suspension systems of vehicles using smart dampers (SmDs) such as
magnetorheological dampers (MRDs) are actively developing as an attractive methodology …

One of the main reasons that affecting the stability of power systems is low frequency
oscillation (LFO). The existence of noise influences the accuracy of LFO mode identification …

The system information of 2-D systems is usually in propagation along two independent
directions. This article focuses on the issue of output feedback sliding mode control (SMC) …

Semi-active train-car suspensions are always impacted negatively by uncertainty and
disturbance (UAD). In order to deal with this, we propose a novel optimal fuzzy disturbance …

Due to the complexly natural attributes of technical systems, reality has been shown that
many systems could be modeled more precisely if they are modeled by using fractional …

An effective hybrid optimization method is proposed by integrating an adaptive Kriging (A-
Kriging) into an improved partial swarm optimization algorithm (IPSO) to give a so-called A …

Granular computing (GrC) embraces a spectrum of concepts, methodologies, methods, and
applications, which dwells upon information granules and their processing. Fuzzy C‐means …