This paper proposes a new impulsive noise (ie, IN) filter for non-contact rail vibration
measurements performed by a laser Doppler vibrometer (ie, LDV) placed on a moving rail …

Gastric cancer is the sixth most common cancer and the fourth leading cause of cancer
deaths worldwide. Gastric cancer presents with a more insidious onset and is most …

Nonlocal self-similarity shows great potential in image denoising. Therefore, the denoising
performance can be attained by accurately exploiting the nonlocal prior. In this paper, we …

Multiclass CNN-based window adaptive optimized filter has been proposed in this research
work to remove impulse noise from colored images. Instead of applying adaptive filter on the …

Magnetic resonance images (MRIs) are sensitive to redundant Rician noise. The proposed
adaptive hexagonal fuzzy hybrid filtering technique adapts itself to remove Rician noise …

The detection of earthquake precursor signals a few days before the earthquake day is one
of the most studied subjects today. In recent years, a strong correlation is observed between …

Impulsive noise is one of the main disturbances that damage the data transmission over
power-line communication (PLC) systems. This paper presents an adaptive noise …

Multiplicative speckle is a dominant type of noise that spoils the inherent features of the
medical ultrasound (US) images. Apart from the speckle, impulse and Gaussian noises also …

Abstract A radial Basis Function Network (RBFN) works well as a nonlinear approximator in
direct adaptive control, as long as the number of inputs is low. A Cerebellar Model Arithmetic …

Today, the rapid development of Artificial Intelligence technologies is effective in the success
of deep learning algorithms in different application areas. In addition to these applications, it …