In this work, a novel conservative four-dimensional chaotic system without linear term is
proposed. The fundamental qualitative properties of the novel chaotic system are described …

In order to predict the mechanical properties of steel materials, an intelligent prediction
approach based on XGBoost model and big data is presented in this paper. The …

A novel optimal torque vectoring control (TVC) strategy is proposed in this paper to enhance
the lateral stability of a dual-motor rear-wheel drive electric vehicle. The structure of the …

This paper uses the concept of intensity-curvature to highlight human brain vasculature
imaged through magnetic resonance imaging (MRI). Two model functions are fitted to the …

In this paper, an automatic freshness prediction system for the living Chinese mitten crab
was explored, which was formed from an electronic nose based on seven metal oxide …

An LightGBM prediction model based on big data is presented in order to online detect the
mechanical properties of hot-rolled strip in this paper, which can achieve the greater …

An XGBoost-PCA-BPNN classification and predication model for the big data set with
uncertain and coupling multidimensional characteristics is presented to solve the problem …

In order to solve the problem of multi-mode process data in complex industrial processes, a
multi-mode industrial process fault monitoring method based on multi-block information …

The major goal of this paper is the description of a fault detection and isolation system. Such
a system is geared to the complex processes through the combination of the neural …

This paper presents a variational mode decomposition (VMD) algorithm and applies it to the
detection of inter-harmonics for the first time. The specific process of inter-harmonics …