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 …

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 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 …

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 …

An IoT system is a smart network that connects all items to the Internet and exchanges data
using Internet Engineering Task Force established protocols. As a consequence, everything …

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 …

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 …

By introducing the Internet‐of‐Everything, new usage situations such as self‐directed
movement and vivid competitions constructed upon Virtual Reality or Augmented Reality …

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 …