Emerging Applications of Machine Learning in Smart Systems Symmetry - Amelia
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: closed (31 May 2022)
Special Issue Editors
Interests: network and communications; cyber security; IoT; machine learning; technology for developing country
Special Issues, Collections and Topics in MDPI journals
Interests: networking; internet of things; cybersecurity; machine learning; smart aging
Special Issues, Collections and Topics in MDPI journals
Interests: networking; internet of things; machine learning
Interests: information systems; artificial intelligence and image processing; computer software; communications technologies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the wave of the third Artificial Intelligence (AI) revolution, smart systems have become a norm in our day to day life. Machine learning, a subset of AI, is one of the most influential enablers behind these smart systems. On the other hand, the symmetry concept in machine learning models is gaining momentum. Machine learning is bringing both positive and negative emotions and concerns to the research community. Consequently, human-centred Artificial Intelligence is in the spotlight. The ethical concern related by machine learning is of paramount importance in smart healthcare, autonomous, and other intelligent systems. Machine learning has also become a critical technology to enable contemporary cybersecurity systems.
This Special Issue of Symmetry features emerging smart systems, along with state-of-the-art machine learning and applied symmetrical methods in developing models and their applications. We are seeking contributions around this theme. The researchers are encouraged to submit their original works that cover some novel aspects of machine learning in the context of smart systems.
The journal focuses on the following, however, are not limited to innovative applications of:
- machine learning and cyber-physical systems;
- intelligent healthcare;
- predictive models in healthcare;
- applied machine learning in cybersecurity;
- Society 5.0 and smart aging;
- human in the loop;
- machine learning and environment;
- machine learning and Industry 4.0
Dr. Farnaz Farid
Dr. Farhad Ahamed
Dr. Luay A. Wahsheh
Dr. Mahmoud Elkhodr
Guest Editors
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 submissions that pass pre-check are 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.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
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