Special Issues
Table of Content

Artificial Intelligence-based Smart Sensors for Industrial IoT Applications

Submission Deadline: 30 December 2022 (closed) View: 2

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

Published Papers


  • Open Access

    ARTICLE

    Efficient Technique for Image Cryptography Using Sudoku Keys

    M. A. P. Manimekalai, M. Karthikeyan, I. Thusnavis Bella Mary, K. Martin Sagayam, Ahmed A Elngar, Unai Fernandez-Gamiz, Hatıra Günerhan
    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1325-1353, 2023, DOI:10.32604/cmc.2023.035856
    (This article belongs to the Special Issue: Artificial Intelligence-based Smart Sensors for Industrial IoT Applications)
    Abstract This paper proposes a cryptographic technique on images based on the Sudoku solution. Sudoku is a number puzzle, which needs applying defined protocols and filling the empty boxes with numbers. Given a small size of numbers as input, solving the sudoku puzzle yields an expanded big size of numbers, which can be used as a key for the Encryption/Decryption of images. In this way, the given small size of numbers can be stored as the prime key, which means the key is compact. A prime key clue in the sudoku puzzle always leads to only… More >

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