There are more than 10 million new cases of Alzheimer's patients worldwide each year,
which means there is a new case every 3.2 s. Alzheimer's disease (AD) is a progressive …

Data in the healthcare industry and machine learning techniques is useful to analyse a huge
amount of data to identify the hidden patterns in the disease, to give personalised treatment …

Denoising computed tomography (CT) medical images is crucial in preserving information
and restoring images contaminated with noise. Standard filters have extensively been used …

By considering the ever-increasing traffic in metropolitan areas, vehicle parking has become
a great hindrance, especially while finding the available parking space nearby any office …

In the arena of digital image processing, mixed noise is normally depicted. Nevertheless, the
main limitation of the existing noise removal methods is the exploitation of the statistics of the …

An accurate and robust fruit image classifier can have a variety of real-life and industrial
applications including automated pricing, intelligent sorting, and information extraction. This …

Medical imaging plays an important role in modern healthcare, with Computed Tomography
(CT) being essential for high-resolution cross-sectional imaging. However, Gaussian noise …

This research paper presents an efficient hybrid framework for the enhancement of X‐ray
images using the DWT (discrete wavelet transform), Gaussian, and Wiener filters. Digital X …

Sažetak The need for reliable user recognition (identification/authentication) techniques has
grown in response to heightened security concerns and accelerated advances in …

Endometrial cancеr is the fourth fastеst-growing cancеr among women worldwide, affecting
the uterus's lining. This research proposes a novel approach called ECgMLP for the …