This review article provides a comprehensive survey on state-of-the-art impulse and
Gaussian denoising filters applied to images and summarizes the progress that has been …

Today, face recognition is a technology that has been widely applied to various purposes,
especially related to the image. Examples of the use of face recognition include face …

In this paper, the effect of the kernel size of Wiener and Gaussian filters on their image
restoration qualities has been studied and analyzed. Four sizes of such kernels, namely 3x3 …

Batteries are the most expensive component of battery electric vehicles (BEVs), but they
degrade over time and battery operation. State of health (SOH) forecasting models learn …

Depression is defined as a psychiatric disorder, which has many adverse effects on the
person, family, and society. In this paper, the multimodalities are utilized as an input for …

Skin cancer represents a general cancer type. Earlier treatment and diagnosis are important
tasks in skin cancer. The models, like deep learning, are generally utilized for diagnosing …

During Acquisition of an image using some digital devices we often observe various types of
noises. Between them, one of the major types of noise that we often found is the Gaussian …

As an elegant nonparametric Bayesian method, Gaussian process regression (GPR) has
been successfully applied to image denoising. However, the traditional GPR faces the …

The most terrible form of cancer caused by uncontrolled and aberrant cell division is the
Brain Tumor (BT). The current methodologies are insufficient for precise categorization due …

Abstract Background/Objectives: There is only limited research work is going on in the field
of facial expression recognition on low resolution images. Mostly, all the images in the real …