Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …

WiFi sensing has received recent and significant interest from academia, industry,
healthcare professionals, and other caregivers (including family members) as a potential …

In recent years, many methods for intrusion detection systems (IDS) have been designed
and developed in the research community, which have achieved a perfect detection rate …

In the current digital era, one of the most critical and challenging issues is ensuring
cybersecurity in information technology (IT) infrastructures. With significant improvements in …

A data-driven machine deep learning approach is proposed for differentiating subjects with
Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI) and Healthy Control (HC), by …

Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …

The rapid growth of Internet of Things (IoT) is expected to add billions of IoT devices
connected to the Internet. These devices represent a vast attack surface for cyberattacks. For …

Network intrusion detection systems are frequently utilized for attack detection and network
protection. However, one of the frequent issues intrusion detection systems face is the false …

Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the
areas of pattern recognition and image processing due to its application in several fields …

Internet of Things (IoT) and Artificial Intelligence (AI) has led the digital transformation in
modern healthcare. With any kind of digital transformation, security challenges must be …