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Journal Photo for QIT Press - International Journal of Computer Applications
Peer reviewed only Open Access

QIT Press - International Journal of Computer Applications (QITP-IJCA)

Publisher : QIT Press
Computational Science Information Science Software Engineering
Claim Your Journal Get PRC Visit Website
e-ISSN 0001-3185
Issue Frequency Monthly
Est. Year 2020
Mobile 1234567809
DOI YES
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@qitpress.com, qitpress@gmail.com

Journal Descriptions

QIT Press International Journal of Computer Applications (QITP-IJCA) is a peer reviewed journal published by VIT Press. The journal publishes papers related with topics including but not limited to Information Systems, Distributed Systems, Graphics and Imaging, Bio-informatics, Natural Language Processing, Software Testing, Human-Computer Interaction, Embedded Systems, Pattern Recognition, Signal Processing.

QIT Press - International Journal of Computer Applications (QITP-IJCA) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Computational Science, Information Science, Software Engineering, Computer Architecture and Engineering, Graphics and Imaging, Bio-informatics , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 0001-3185, Established: 2020,
  • Provides Crossref DOI

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

Indexing

Publications of QITP-IJCA

Designing Human-Centric Artificial Intelligence Frameworks to Balance Ethical Governance and Adaptive Machine Learning Capabilities
SB Vinay June, 2025
As artificial intelligence (AI) increasingly permeates all aspects of human life, ensuring that AI systems remain ethically grounded and human-centric has become paramount. This paper presen...
Creating an AI-Based Symptom Checker for Low-Resource Healthcare Settings with Explainability Features
mj iaeme May, 2025
The rise of AI-driven health technologies presents opportunities for transformative change in underserved healthcare systems. This paper proposes the design and implementation of an AI-based...
An Adaptive Forecasting Framework for Time-Varying Sales Data Using Multi-Resolution Learning Models
SB Vinay November, 2024
Time-varying sales data, characterized by non-stationarity and dynamic trends, presents a significant challenge for accurate forecasting. This paper proposes an adaptive forecasting framewor...