Short term load forecasting (STLF) is an important issue for an electricity power system, to
enhance its management efficiency and reduce its operational costs. However, STLF is …

In bearings defect diagnosis applications, information fusion has been widely used to
improve identification accuracy for different types of faults, which may lead to high …

The impact of climate change and its associated extreme rainfall event is the major threats of
land resources in subtropical monsoon dominated region. In this study, we have considered …

Fractal/multifractal modeling is a widely used geomathematical approach to capturing
different populations in geochemical map**. The rationale of this methodology is based …

Medical image fusion is important in the field of clinical diagnosis because it can improve the
availability of information contained in images. Magnetic Resonance Imaging (MRI) provides …

Base kernel selection, the task of selecting multiple good kernels, is a key issue in multiple
kernel learning (MKL) algorithms. This paper introduces a new framework for base strong …

Develo** an efficient embedded feature selection method for both binary and multiclass
classification problems is a fundamental topic to be further studied. In this paper, the …

One of the factors that affects the appearance of the garment is the wrinkle. For this purpose,
clothing manufacturers try to measure and predict the wrinkle grade, but the reported grade …

Fisher discriminant analysis (FDA) is a widely used dimensionality reduction tool in pattern
recognition. However, FDA cannot obtain an optimal subspace for classification without …

In this paper, we present a novel fuzzy rule extraction approach by employing the Gaussian
kernels and fuzzy concept lattices. First we introduce the Gaussian kernel to interval type-2 …