Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …

For preventing the spread of COVID-19, health authorities urgently turned their attention to
urban public transportation. It is believed that virus transmission is more likely to occur in …

Elevated levels of fine particulate matter (PM2. 5) in the atmosphere present substantial risks
to human health and welfare. The accurate assessment of PM2. 5 concentrations plays a …

In the domain of real-world concept learning, feature selection plays a crucial role in
accelerating learning processes and enhancing the quality of classification concepts …

As the internet of things (IoT) continues to expand rapidly, the significance of its security
concerns has grown in recent years. To address these concerns, physical unclonable …

The advent of smart grid technologies has brought about a paradigm shift in the
management and operation of distribution networks, allowing for intricate system information …

This study tackles the problem of increasing efficiency and scalability in deep neural network
(DNN) systems by employing collaborative inference, an approach that is gaining popularity …

Considering the robustness and accuracy of conventional intrusion detection models are
easily influenced by adversarial attacks, this work proposes an anti-attack intrusion detection …

The network design's flexibility and adaptability significantly impact the quality of service
(QoS) in 5G and 6G communications. The network's service quality is simultaneously …

Abstract Intelligent Transportation Systems (ITS) have experienced significant growth over
the past decade thanks to advances in control, communication, and information technology …