Ransomware has grown to be a dominant cybersecurity threat by exfiltrating, encrypting, or
destroying valuable user data and causing numerous disruptions to victims. The severity of …

In the field of medical image analysis within deep learning (DL), the importance of
employing advanced DL techniques cannot be overstated. DL has achieved impressive …

Nowadays, machine learning (ML) has attained a high level of achievement in many
contexts. Considering the significance of ML in medical and bioinformatics owing to its …

In the domain of using DL-based methods in medical and healthcare prediction systems, the
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …

Mobile devices have become an essential element in our day-to-day lives. The chances of
mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting …

The Internet of Things (IoT) is a complicated security feature in which datagrams are
protected by integrity, confidentiality, and authentication services. The network is protected …

In today's digitalized era, the usage of Android devices is being extensively witnessed in
various sectors. Cybercriminals inevitably adapt to new security technologies and utilize …

The real-world complex systems of transportation and insurance constantly produce
massive data, and the number of variables used to capture these systems can sometimes be …

Over the last decade, numerous research efforts have been dedicated to countering
malicious mobile applications. Given its market share, Android OS has been the primary …

To resolve the problem of membership value and the control effect reliant on expert
knowledge, a PID control approach based on an adaptive fuzzy PID-UAV attitude controller …