Abstract The Internet of Things (IoT) is playing a significant role in the transformation of
traditional factories into smart factories in Industry 4.0 by using network of interconnected …

Climate change, the growth in world population, high levels of food waste and food loss, and
the risk of new disease or pandemic outbreaks are examples of the many challenges that …

Precision farming is made possible by rapid advances in deep learning (DL) and the internet
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …

Smart services based on the Internet of Everything (IoE) are gaining considerable popularity
due to the ever-increasing demands of wireless networks. This demands the appraisal of the …

Industrial control systems (ICSs) are facing serious and evolving security threats because of
a variety of malicious attacks. Deep learning-based intrusion detection systems (IDSs) have …

Time-series prediction plays a crucial role in the Industrial Internet of Things (IIoT) to enable
intelligent process control, analysis, and management, such as complex equipment …

There is a growing interest in using deep learning technologies within the manufacturing
industry to improve quality, productivity, safety, and efficiency, while also reducing costs and …

Unnamed Ariel Vehicle-assisted-Internet of Things (UAV-assisted IoT) applications have
emerged as a powerful integrated technology, showcasing remarkable results in many …

This review article provides an overview of the potential of the Industrial Internet of Things
(IIoT) to revolutionize industrial automation. The IIoT is the Internet of Things (IoT) but in an …

Active noise cancellation (ANC) is an efficient and effective method for suppressing low
frequency disturbances generated by tyre–road interaction in a vehicle. There are significant …