Three-dimensional convolutional neural networks (3D CNNs) have been widely applied to
analyze brain tumour images (BT) to understand the disease's progress better. It is well …

Unstructured data has been identified by governments and researchers as a result of the
increasing digitization of society, which has led to an increase in digital platforms and …

The implementation of an adaptive canceller of interference using a field-programmable
gate array (**linx) programmable logic device/mechanism is shown in this paper. The …

A novel image encryption algorithm employing triple chaotic maps has been developed to
address the shortcomings of existing methods in terms of security and efficiency. The …

Biomaterials, designed to interact with living systems, play a vital role in various medical
applications. Classifying these materials effectively is crucial for understanding their …

Social media has become a massive responsibility for marketing. All notions of etiquette and
traditional advertisements become null and void in this area People love to share …

This paper explores the genetic and epigenetic impacts of drug abuse, focusing on how
chronic drug use can induce mutations in DNA, particularly within protein-coding regions …

Artificial Intelligence (AI) is emerging as a transformative force in both drug development and
orthodontics. This paper provides an overview of key AI techniques employed in these fields …

The increasing number of cardiac interventional procedures has resulted in a tremendous
increase in the absorbed X-ray dose by radiologists as well as patients. A new method is …

We present two techniques for improving the efficiency of the previous method for multiple
fault diagnosis of combinational circuits.(1) Three new rules for deducing the valves at the …