Acta Informatica Pragensia 2022, 11(1), 141-144 | DOI: 10.18267/j.aip.1755508

Call for Special Issue Papers: Deep Learning Blockchain-enabled Technology for Improved Healthcare Industrial Systems

Mazin Abed Mohammed ORCID...1, Seifedine Kadry ORCID...2, Oana Geman ORCID...3
1 College of Computer Science and Information Technology, University of Anbar, Iraq
2 Department of Applied Data Science, Noroff University College, Norway
3 Department of Health and Human Development, Ștefan cel Mare University of Suceava, Romania

The main objective of this special issue is to bring together diverse, novel and impactful research work on explainable deep learning for medicine based on the Internet of Medical Things, thereby accelerating research in this field. The regulation of Internet of Medical Things (IoMT) aware industrial networks for medical science applications has been evolving day by day. An IoMT industrial network consists of different bio-medical sensors, wireless technologies and cloud computing services to run different healthcare applications. However, IoMT industrial networks also suffer from dynamics uncertainties, such as intermittent changes in wireless network values, availability of cloud services and security issues, and require flexible systems to cope with these challenges for healthcare applications in the network.

Keywords: Internet of medical things; Blockchain; Cloud computing; Artificial intelligence; Special issue.

Accepted: February 2, 2022; Prepublished online: February 2, 2022; Published: March 13, 2022  Show citation

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Abed Mohammed, M., Kadry, S., & Geman, O. (2022). Call for Special Issue Papers: Deep Learning Blockchain-enabled Technology for Improved Healthcare Industrial Systems. Acta Informatica Pragensia11(1), 141-144. doi: 10.18267/j.aip.175
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References

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