Authors of papers presented at this conference and within the scope of MDPI Information may submit a technically extended version to the Special Issue of Information - "Emerging Applications of Machine Learning in Healthcare, Industry, and Beyond".
This Special Issue is derived from the 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering—IEEE MetroXRAINE 2024. It is dedicated to showcasing extended versions of conference papers that highlight the transformative impact of machine learning across various domains such as healthcare, industry, and beyond. In addition, authors outside the conference are also welcome to submit papers that are within the scope of the Special Issue. This Special Issue will illustrate how emerging machine learning technologies are being integrated into complex systems to solve real-world problems, enhance operational efficiency, and introduce new research trajectories.
Submitted manuscripts should not have been previously published, nor be under consideration for publication elsewhere (except conference proceedings papers). Conference papers should be cited and noted on the paper. Please note that submitted extended papers should contain at least 50% new content (e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases) and not exceed 30% copy/paste from the original conference paper.
ABOUT THE JOURNAL
Information (ISSN 2078-2489) is an international, scientific open access journal of information science and technology, data, knowledge and communication. It publishes reviews, regular research papers and short communications.
SPECIAL ISSUE GUEST EDITORS
Francesco Isgrò, University of Naples Federico II
Huiyu Zhou, University of Leicester, UK
Daniele Ravi, University of Hertfordshire, UK
