Guest Editors
Dr. Mazin Abed Mohammed, University of Anbar, Iraq.
Dr. Seifedine Kadry, Norrof University College, Norway.
Dr. Oana Geman, Universitatea Stefan cel Mare din Suceava, Romania.
Summary
The
Industrial Internet of Things (IIoT) is no longer a trend that has proved to be
an extremely successful technology that many modern digital-based businesses
use to quickly expand their operations. The IIoT provides real-time data that
is critical for making snap decisions based on different efficient AI methods.
It supports a product's entire lifecycle, from design and manufacturing to use,
service, and remanufacture. Through technical and financial information, the
IIoT connects the user with the product and the business. It also creates
emotional and immersive links between the user and the product. Advanced
intertwined networks of smart sensors and personalized cloud services are the
means of delivering the right data at the right time to allow for faster
decision making for more adaptive, agile, and scalable services that make the
difference for businesses that cater to their customers' needs.
This
Special Issue is devoted to interdisciplinary research that contributes to
IIoT's current power. It is seeking cutting-edge contributions to basic
research that enables IIoT as well as groundbreaking industrial smart sensor
research applications.
Keywords
• Smart Sensors with Edge AI Blockchain
• IIoT fog-cloud network
• Wearables for IIoT with fog-cloud network
• Robotics and IIoT with AI Searching
• Smart sensors offloading to IIoT services
• AI Big Data based on AI IIoT network
• Real-Time Industrial applications of IIoT
• Security and trust in IIoT Distributed network
• Mixed entities of smart-sensors and Blockchain-Enable IIoT
• Digital manufacturing for IIoT networking
• Smart Sensors-to-cloud IIoT solutions
• Intelligent sensing for IIoT network
• Machine and deep learning Algorithms for remote IIoT data collection and filtering
• Deep learning approach towards Green IIoT
• Blockchain solutions for AI-enabled IIoT scheme
• Ubiquitous computing for AI-enabled smart city
• Machine learning approach towards effective routing protocol for packet scheduling in IIoT
• Real-time load prediction and balancing at the Edge of IIoT
• AI for Medical data
• AI for Networks Applications
• Security
• Privacy
• Internet Of Things (IoT)
• Threat Modeling
• Blockchain
• Offloading
• AI
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