The progression of innovation and technology and ease of inter-connectivity among
networks has allowed us to evolve towards one of the promising areas, the Internet of …

Medical image analysis using multiple modalities refers to the process of analyzing and
extracting information from more than one type of image in order to gain a comprehensive …

Abstract Machine Learning (ML) is an Artificial Intelligence (AI) approach that allows systems
to adapt to their environment based on past experiences. Machine Learning (ML) and …

The vehicular ad-hoc network (VANET) is a new subcategory of mobile ad-hoc networks that
has excellent potential application in intelligent transportation systems. The cyberattack on …

The domain name system (DNS) is a crucial component in the current IP-based Internet
architecture. However, it suffers from several security vulnerabilities. This is because it does …

Breast cancer is the second most type of cancer diagnosed in women; it is also the leading
cause of cancer caused deaths in women after lung cancer. Breast lumps can be classified …

This paper provides a bibliometric analysis of current research trends in the field of artificial
intelligence (AI), focusing on key topics such as deep learning, machine learning, and …

Sensor networks collect data that is often contaminated by noise. Therefore, it is often
necessary to analyze sensor data to determine if a signal is present. This research project …

As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming
increasingly crucial to tackle the growing complexity of cyber threats. While traditional ML …

The increasing use of IoHT devices in healthcare has brought about revolutionary
advancements, but it has also exposed some critical vulnerabilities, particularly in …