Artificial Intelligence (AI) is a transformative force in education, particularly language
learning. This study discusses the various AI tools employed for language learning, such as …

Few-shot classification (FSC) has become a significant area of research in recent years. A
prevalent method in this field is the separation of feature representations from classifiers …

Abstract Machine learning methods are widely used in Android malware detection, but
carefully scrambled adversarial samples can effectively evade detection. Adversarial …

The integration of artificial intelligence (AI) and the Internet of Things (IoT) in agriculture has
significantly transformed rural farming. However, the adoption of these technologies has …

The transport sector is experiencing a notable transition towards sustainability, propelled by
technological progress, innovative materials, and a dedication to environmental …

This research aims to develop an advanced safe security system by combining Facelook
and Fingerprint technologies based on the Internet of Things (IoT). These technologies are …

Abstract Implementation of Cyber Security Awareness (CSA) can inspire both large and
small manufacturing companies to change their internal business processes for improved …

As critical infrastructure becomes increasingly interconnected and digitized, the need for
robust cybersecurity measures to safeguard essential systems is more pressing than ever …

Cybersecurity education heavily utilizes competition-based approaches, such as capture-the-
flag (CTF) games to support the need for a skilled cybersecurity workforce. Although CTFs …

Identifying cyber-attacks that attempt to compromise digital systems is a critical function of
intrusion detection systems (IDS). Data labeling difficulties, incorrect conclusions, and …