Special Issue "Machine Learning for IoT Applications and Digital Twins"
Deadline for manuscript submissions: 15 September 2020.
Interests: Internet of Things (IoT); localization; Machine Learning
Interests: Internet of Things (IoT); Machine Learning; data analytics
Interests: Internet of Things (IoT); data science; social networks
The Internet of Things (IoT), one of the emergent technologies that has improved the living environment of human beings, is the source of Big Data generation. In IoT networks, there are many ubiquitous interconnected sensors from different machines or devices. There is a necessity of having novel tools and techniques for processing the huge volume of data and transform them to knowledge. In addition, machine learning techniques have been used comprehensively for a variety of IoT applications. Analysis of IoT sensor data with machine learning algorithms is key for achieving useful information for prediction, classification, data association. and data conceptualization.
On the other hand, Digital Twin integrates IoT, Artificial Intelligence, and Machine Learning with Software Analytics to create digital living.
Thus, this Special Issue welcomes original contributions and review papers on Machine Learning for IoT applications and Digital Twin, in the following potential areas:
- Machine Learning for Smart City/Smart Home/Smart Transportation;
- Machine Learning for Smart Health/Smart Wearable Devices;
- Machine Learning for Smart Industry/Smart Grid/Smart Agriculture;
- Digital Twins integrated with IoT;
- Smart Applications of Digital Twin;
- Data-driven scenarios based on Digital Twin leveraging AI;
- Blockchain and Security for Digital Twin.
Dr. Javad Rezazadeh
Dr. Omid Ameri Sianaki
Dr. Reza Farahbakhsh
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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