Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …

In the field of medical image analysis within deep learning (DL), the importance of
employing advanced DL techniques cannot be overstated. DL has achieved impressive …

Today, diagnostic systems based on artificial intelligence play a significant role in confirming
doctors' recommendations. These systems are becoming effective tools in clinical treatment …

In the domain of using DL-based methods in medical and healthcare prediction systems, the
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …

Understanding the motion of surface-rolling nanomachines has attracted lots of attention in
recent studies, due to their ability in carrying molecular payloads and nanomaterials on the …

Penetration of distributed generation (DG) in the electrical distribution system (EDS) of
Manabí province, in Ecuador, is analysed in the present work. Zoning EDS was first done to …

INTRODUCTION: This paper addresses the navigation of a team of k protector robots within
pathways, focusing on minimizing the total number of turns. These robots utilize orthogonal …

The goal of this paper's novel energy-conscious routing method is to optimize energy usage
and extend network lifespans using a new clustering probability. Versatile arrangements …

Many feature extraction techniques are employed to study the classification of underwater
acoustic, however, most of these techniques result in the loss of detailed information in this …

Abstract The Internet of Things (IoT) is a global and comprehensive network that monitors
and controls the physical world by collecting, processing, and analysing data derived from …