This study presents a novel technique for identifying individuals using feature extraction
methods and signal processing approaches. It uses an artificial neural network (ANN) …

Wrist cracks are the most prevalent kind of crack and have a high incidence rate. Although
wrist cracks are often identified with X-ray medical imaging, the portrayal of cracks may …

Nowadays, there is a global trend of transition to new forms of education. E-learning
platforms, in particular LMS Moodle, significantly expand the capabilities of the traditional …

Manufacturers have always pursued greater speed, scale, qualitative products and services,
and simplicity across operations to optimize production while enhancing efficiency and …

Agricultural output is critical to Pakistan's economy, and plant disease detection is critical for
both the environment and human health. This work presents a CNN-based approach for …

The aim of the research is to compare the head displacements of volunteers with the head
displacements of the KPSIT C50 dummy, taking into account the change of vehicle seat …

Vehicular accidents are a prevalent issue on roads, with drowsiness being a significant
contributing factor. Addressing this, an energy-efficient automated system is essential to alert …

Research Area on Degraded Palm Leaf Manuscripts is a tedious task for document
processing. The Proposed work has taken a dataset on the Degraded Malayalam Palm Leaf …

Many recent clinical studies have made use of computer science-based applications in
magnetic resonance imaging (MRI). It is important to tune the collected brain images for the …

Worldwide Cardiovascular diseases (CVDs) are one of the most common causes of death.
Multiple ML algorithms are employed in this work to address the CVD problem. The …