Abstract

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

Highlights

  • The regulation of Internet of Medical Things (IoMT) aware industrial networks for medical science applications has been evolving day by day

  • This special issue focuses on dynamic deep reinforcement learning and blockchain-enabled task scheduling systems for improved IoMT industrial applications

  • The initial purpose of dynamic deep reinforcement learning and blockchain-enabled task scheduling is to use deep reinforcement learning techniques and an efficient allocation mechanism to plan all Internet of Things (IoT) workflow jobs for different heterogeneous nodes

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Summary

Open Access

Call for Special Issue Papers: Deep Learning Blockchain-enabled Technology for Improved Healthcare Industrial Systems. Dr Mazin Abed Mohammed , University of Anbar, Iraq Prof. Dr Seifedine Kadry , Noroff University College, Norway Prof. Dr Oana Geman , Ștefan cel Mare University of Suceava, Romania

Special issue information
Acta Informatica Pragensia
Information about special issue editors
About Acta Informatica Pragensia journal
Notes for prospective authors
Relevant references
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