Back to Top
Go Back
Journal Photo for INTERNATIONAL JOURNAL OF INTERNET OF THINGS
Peer reviewed only Open Access

INTERNATIONAL JOURNAL OF INTERNET OF THINGS (IJIT)

Publisher : Scientific & Academic Publishing Co.
Networking RFID Technologies
Claim Your Journal Get PRC Visit Website
e-ISSN 2332-8347
p-ISSN 2332-8339
Issue Frequency Monthly
Est. Year 2012
Mobile 1234567890
Country United States
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@sapub.org

Journal Descriptions

International Journal of Internet of Things is an open access journal which brings internationally leading researchers and practitioners from both academia and industry together to present and discuss issues in the Internet of things to the society and disseminate findings in scientific research on related subjects. Subject areas suitable for publication include, but are not limited to the following fields: Applications of the Internet of Things Emerging Standards for an Internet of Things Home Networking Issues relating to the connection of everyday objects to the Internet Internet of Things communication systems and network infrastructures RFID and Tagging Technologies Security and Privacy and Issues relating to linking ‘things’ to location and users The creative and artistic potentials provided by the internet of things The Geography of Things: Location and tracking of objects

INTERNATIONAL JOURNAL OF INTERNET OF THINGS (IJIT) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Networking, RFID, Technologies, Web Services , Online or Print , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2332-8339, E-ISSN: 2332-8347, Established: 2012,
  • Does Not Provide Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Role In Research Journal

Jabin Geevarghese George Profile Photo
Jabin Geevarghese George
Editorial Board Member

Publications of IJIT

TOWARDS EXPLAINABLE MACHINE LEARNING: A COMPARATIVE STUDY OF POST HOC INTERPRETABILITY TECHNIQUES FOR COMPLEX NONLINEAR PREDICTIVE MODELS
Amalie Andrine April, 2025
The rapid adoption of machine learning models in high-stakes domains demands transparency and accountability. However, complex nonlinear predictive models, such as deep neural networks and e...