Data Analysis and Artificial Intelligence for IoT

Dear Colleagues,

Artificial intelligence is one of the most exciting fields of computing today. Over the past few decades, artificial intelligence has become a solid part of our daily life and has been successfully used to solve real-world problems.

IoT technology (IoT) develops hardware technologies day by day which can be connected by the devices. We can use artificial intelligence (AI) by reducing size, cost, and robustness. The AI-based IoT collects a huge amount of data from various sources. AI-based big data analytics are performed on these data to predict patterns. The globally accepted AI-based IoT is the driving force of innovative applications. The number of IoT devices will be increased by around 200 billion by the end of 2023.

This Special Issue will focus on the novel contributions that integrate IoT with ML/DL techniques and provide solutions to the big data paradigm.

Potential topics include but are not limited to the following:

• ML/DL techniques for circumventing big data in IoT applications;
• Hybrid and IoT-based networks;
• Data analysis and deep learning;
• Software engineering for IoT systems;
• Artificial intelligence systems in robotics and mechatronics;
• Innovative communications technologies and protocols for IoT applications;
• Healthcare data analytics using IoT and ML techniques;
• Data analysis application in communication.

Prof. Dr. Bhanu Shrestha
Prof. Dr. Seongsoo Cho
Prof. Dr. Changho Seo
Guest Editors

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