A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …

The use of face masks has become a widespread non-pharmaceutical practice to mitigate
the transmission of COVID-19. However, achieving accurate facial detection while people …

Intrusions detection is one of the major issues that worry organizations in wireless sensor
networks (WSNs). Many researchers have dealt with this problem and have proposed many …

Currently, the concept of the Internet of Things (IoT) has become more noticeable where it is
being used in all aspects of life, such as home automation, smart cities, military surveillance, …

Selective forwarding is a major problem in wireless sensor networks (WSNs). The nature of
sensor environments and the sensitivity of collected measurements in some fields such as …

This article describes how as network traffic grows, attacks on traffic become more complicated
and harder to detect. Recently, researchers have begun to explore machine learning …

In epidemic situations, as in the current COVID-19 pandemic, wearing face-masks is one of
the most effective practices imposed to protect people lives. This will be one of the daily-life …

Spiking neural networks (SNN) represents the third generation of neural network models, it
differs significantly from the early neural network generation. The time is becoming the most …

In wireless networks a set of issues should be considered, one of the most issue sis the
security issue especially in wireless Ad hoc networks due to the absence of centralized control. …

This paper explores Adaptive Fibonacci-based Tuning Protocol for Service and Resource
discovery in the Internet of Things (AFT). Through using constrained application protocol (…