Advances in the new generation of Internet of Things (IoT) technology are propelling the
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …

Hotel selection on tourism websites has been a prevailing trend in traveling in recent years,
and selecting a suitable hotel is a high-risk decision for millions of tourists because of the …

Remote monitoring is an important application of intelligent transportation systems (ITSs).
The combination of monitoring equipment and tracking algorithms can be used to …

Fuzzy neural networks (FNNs) are quite useful for nonlinear system identification when only
the input/output information is available. A new FNN framework is first proposed by …

In this paper, a novel fuzzy neural network structure for uncertain nonlinear systems is
proposed. This network is called wavelet Takagi–Sugeno–Kang (TSK) fuzzy cerebellar …

It is of great demand in the power industry to use hourly information to establish the
appropriate predictive model and improve the forecasting accuracy in the short/long term …

To develop a high-performance synchronous reluctance motor (SynRM) drive system, a
novel maximum power factor control (MPFC) using a current angle controller with stator …

This paper is concerned with a new design methodology of a reinforced interval type-2 fuzzy
c-means (FCM) based fuzzy classifier (FC). The key point of this study is to reduce the …

This paper investigates the application of an image based visual servoing (IBVS)
mechanism for controlling the translational and rotational movements of a quadrotor …

The majority of the existing work on random vector functional link networks (RVFLNs) is not
scalable for data stream analytics because they work under a batch learning scenario and …