Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles (CAV), including perception, planning, and control. However, its reliance on vehicular data …
To process and transfer large amounts of data in emerging wireless services, it has become increasingly appealing to exploit distributed data communication and learning. Specifically …
In this paper, we propose a new comprehensive realistic cyber security dataset of IoT and IIoT applications, called Edge-IIoTset, which can be used by machine learning-based …
The proliferation in embedded and communication technologies made the concept of the Internet of Medical Things (IoMT) a reality. Individuals' physical and physiological status can …
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education, transportation, manufacturing, military, agriculture, and other industries. However, for the …
Smart healthcare relies on artificial intelligence (AI) functions for learning and analysis of patient data. Since large and diverse datasets for training of Machine Learning (ML) models …
O Aouedi, K Piamrat, G Muller… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Security has become a critical issue for Industry4. 0 due to different emerging cyber-security threats. Recently, many deep learning (DL) approaches have focused on intrusion detection …
X Wang, Y Wang, Z Javaheri, L Almutairi… - Computers and …, 2023 - Elsevier
Privacy has emerged as a top worry as a result of the development of zero-day hacks because IoT devices produce and transmit sensitive information through the regular internet …
MJ Baucas, P Spachos… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Over the years, the popularity and usage of wearable Internet of Things (IoT) devices in several healthcare services are increased. Among the services that benefit from the usage of …