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Journal of Smart Internet of Things

IoT and Intelligent Technologies
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Journal of Smart Internet of Things (JSIoT) is an international double-blind peer-reviewed open-access scientific journal published as a quarterly by Future Science and scientifically sponsored by Islamic University (Iraq).
JSIoT is a multidisciplinary journal in engineering area, committed not only to a single approach, discipline, methodology or paradigm concerned with Artificial Intelligence in general and devoted to all concerned with Internet of Things and Engineering Systems.

The Journal embraces a wide scope of research areas while not being limited to the following domains:

  • Artificial Intelligence of Things:
  • Explainable Machine Learning for Internet of Things:
  • Intelligent Edge:
  • Ethical AI:
  • Heuristic Search:
  • Human Interfaces:
  • Intelligent Robotics:
  • Knowledge Representation:
  • Machine Learning:
  • Multi-Agent Systems:
  • Natural Language Processing:
  • Planning and Action:
  • Decision Making and Reasoning under Uncertainty:

Moreover, the Journal covers diverse applications of IoT in various domains, including but not limited to:

  • Energy
  • Manufacturing and Industry
  • Smart Cities
  • Smart Home
  • Communication and Electronics Engineering
  • Smart Buildings
  • eLearning and Education
  • Medicine and Healthcare
  • Nano IoT
  • Personalised Precision Medicine
  • Biological IoT
  • Chemical IoT

Journal of Smart Internet of Things (JSIoT) aims to showcase cutting-edge research in the field by publishing original research papers and review papers. Manuscripts submitted to JSIoT should demonstrate significant advancements compared to the existing state of research.

Archiving

Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.

Plagiarism Policy

The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process.