Abstract Background and Objective The Poisson noise is added to the image during the
acquisition of medical X-Ray images. The distorted image due to this noise makes it difficult …

Brain tumor is among the major reasons for deaths among cancerous diseases around the
world. Medical imaging technologies used to detect brain tumor is very popular these days …

In this paper, we propose an advanced framework for image denoising using bilateral
filtering based non-subsampled shearlet transform (NSST). Initially, we apply the NSST to …

To ensure safety of maintenance of refinery unit and improve reliability of refinery unit, the
risk assessment model of refinery unit maintenance is established based on fuzzy second …

This paper discusses an optical wireless sensor network that combines wireless sensor
networks with optical communication technology. We use vector quantization to find the …

Image denoising is a long-standing hard problem, especially in the field of engineering
detection. In addition, emerging promising image-based intelligent diagnosis methods are …

We propose a novel principal component analysis (PCA)-based image denoising framework
motivated by the fact that the PCA along with patch groups (PGs) can produce better …

The goal of this study is to classify microalgae of different species, using machine learning
(ML) and deep learning (DL) methods. At present, we applied gray-scaling, bilateral filtering …

Effective detection and removal of the artifacts from dermoscopic images require the
analysis of structures within lesions for accurate cancer detection. But the dermoscopic …

At times of natural calamities, it is very important that applications need to have geolocation
data to provide accurate services without interruption. For this, we need to have appropriate …