Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …

This study aims to perform a thorough systematic review investigating and synthesizing
existing research on defense strategies and methodologies in adversarial attacks using …

There is a considerable threat present in genres such as machine learning due to
adversarial attacks which include purposely feeding the system with data that will alter the …

The sale of facial features is a new modern contractual development that resulted from the
fast transformations in technology, leading to legal, and ethical obligations. As the need …

In the context of autism spectrum disorder (ASD) triage, the robustness of machine learning
(ML) models is a paramount concern. Ensuring the robustness of ML models faces issues …

Integrating Machine Learning (ML) techniques into Vehicular Adhoc Networks (VANETs)
provides promising features in autonomous driving and ITS applications. In this paper …

Monkeypox is a rather rare viral infectious disease that initially did not receive much
attention but has recently become a subject of concern from the point of view of public …

Electroencephalography (EEG) can control machines for human purposes, especially for
disabled people doing rehabilitation exercises or regular tasks. Brain-computer interface …

Gender recognition on the facial level is considered one of the most important technologies
that finds use in such fields as a personalized marketing plan, safe systems of …

Authentication and confidentiality are critical elements in many systems, and passwords are
used to protect these systems. One way to enter the password into the system is via voice …