Magnetic resonance imaging is a common medical imaging tool for the identification and
monitoring of brain diseases. Accurate classification of MRI brain pictures is extremely …

The exponential growth of the Internet of Things (IoT) sector has resulted in a surge of
interconnected gadgets in smart households, thus exposing them to new cyber-attack …

Malware analysis is essential for detecting and mitigating the effects of malicious software.
This study introduces a novel hybrid approach using a combination of long short-term …

Internet of things (IoT) devices' evolution and growth have boosted system efficiency,
reduced human labour, and improved operational efficiency; however, IoT devices pose …

Adversarial attacks represent a substantial threat to the security and reliability of machine
learning models employed in wireless sensor networks (WSNs). This study tries to solve this …

The links between cybersecurity and civil protection in the last decades became strong due
to the rapid increase in the use of Informatics Technologies (IT) worldwide and the need to …

Android is the most popular operating system of the latest mobile smart devices. With this
operating system, many Android applications have been developed and become an …

The rapid integration of the Internet of Things (IoT) with ad hoc networks offers significant
advantages for revolutionizing smart environments. However, ensuring trust and reliability …

Materials and Methods The research methodology involves implementing DRL techniques
for autonomous car trajectory management within the context of connected and autonomous …

This research examines using MRI images for brain tumour identification in deep learning-
based tumour prediction models. Four well-known deep learning architectures' accuracy …