Artificial Neural Networks (ANNs) are machine learning algorithms inspired by the structure
and function of the human brain. Their popularity has increased in recent years due to their …

Over the last decade, deep neural networks have shown great success in the fields of
machine learning and computer vision. Currently, the CNN (convolutional neural network) is …

Responding to the critical health crisis triggered by respiratory illnesses, notably COVID-19,
this study introduces an innovative and resource-conscious methodology for analyzing chest …

Covid-19 is a disease that can lead to pneumonia, respiratory syndrome, septic shock,
multiple organ failure, and death. This pandemic is viewed as a critical component of the …

Abstract Recent advancements in Computer Vision have opened up new opportunities for
addressing complex healthcare challenges, particularly in the area of lung disease …

Cultural sites tend to revive themselves through digitization and try to keep pace with
modern technology in order to meet the growing needs of the public. In fact, different cultural …

In smart grid-based manufacturing, nanoparticles can play a significant role in enhancing
efficiency, productivity, and sustainability. They can be employed in areas such as materials …

Most of the neural network architectures are based on human experience, which requires a
long and tedious trial-and-error process. Neural architecture search (NAS) attempts to detect …

The rapid advancements in machine learning (ML) and evolutionary optimization techniques
(EOT) have opened up new avenues for solving complex problems across diverse scientific …

Remarkable advancements have been achieved in machine learning and computer vision
through the utilization of deep neural networks. Among the most advantageous of these …