About the Journal

The Journal of Innovative Technology Convergence (JITC) is a peer-reviewed International Journal that publishes theoretical and applied papers covering the broad spectrum of information and communications technology (ICT). JITC is inherently a convergence journal, publishing original research in the fields of innovative technology convergence aspects including theoretical studies, practical applications, high-quality and state-of-the-art ideas and results, new technology, and experimental prototypes. JITC seeks to address new challenges and opportunities that have emerged through the convergence of ICT for the development of various applications in different fields.

ISSN: 2704-4440

Announcements

BASE (Bielefeld Academic Search Engine) Index

2025-05-14

The Journal of Innovative Technology Convergence (JITC) has been indexed by BASE (Bielefeld Academic Search Engine), a comprehensive, multi-disciplinary search engine for academic resources, primarily focused on open access content.

BASE focuses on scholarly internet resources, including journal articles, dissertations, theses, and research reports. 

It indexes metadata from institutional repositories and other academic digital libraries that utilize the OAI-PMH protocol. BASE is maintained by the Bielefeld University Library.

Read more about BASE (Bielefeld Academic Search Engine) Index

Current Issue

Vol. 7 No. 1 (2025)
DOI: https://doi.org/10.69478/JITC2025v7n1
Published: 2025-03-31

Articles

  • Bangladeshi Migrant workers English Language Learning with the help of Multimedia

    Md. Shahdat Hossain Munna
    DOI: https://doi.org/10.69478/JITC2025v7n1a01

  • A Review on Strategies of Resilience for Human Computer Interaction

    Md. Rakibul Islam
    DOI: https://doi.org/10.69478/JITC2025v7n1a02

  • A Study on the Development of a Web-based Collaborative Project Management Platform

    Roy I. Vera Cruz
    DOI: https://doi.org/10.69478/JITC2025v7n1a03

  • Jackfruit Disease Recognition Using Image Processing in Non-Destructive Method with Alternative Treatment Recommender

    Mylene Sostana J. Buaya
    DOI: https://doi.org/10.69478/JITC2025v7n1a04

  • A Study on the Classification of Local Varieties of Chili Pepper Using Convolutional Neural Networks

    John Andrei Alipis, Jennifer Joy Serguino, Jewel Faith Ballarta, Ryan Ercel O. Paderes, John Jowil D. Orquia
    DOI: https://doi.org/10.69478/JITC2025v7n1a05
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