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Journal Photo for QIT Press - International Journal of Artificial Intelligence and Machine Learning Research and Development
Peer reviewed only Open Access

QIT Press - International Journal of Artificial Intelligence and Machine Learning Research and Development (QITP-IJAIMLRD)

Publisher : QIT Press
Artificial Intelligence Machine Learning Emerging Trends and Technologies
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e-ISSN 2384-7195
Issue Frequency 3-issues-year
Est. Year 2024
Mobile 1234567809
DOI YES
Language English
APC YES
Impact Factor Assignee Google scholar
Email editor@qitpress.com

Journal Descriptions

The International Journal of Artificial Intelligence and Machine Learning Research and Development (QITP-IJMLRD) aims to serve as a global platform for the dissemination of high-quality, peer-reviewed research in the fields of Artificial Intelligence (AI) and Machine Learning (ML). The journal is dedicated to advancing the theoretical foundations, methodologies, applications, and impact of AI and ML across various industries and scientific disciplines. Its goal is to foster innovation, promote knowledge sharing, and encourage interdisciplinary collaboration among researchers, practitioners, and industry leaders in the AI and ML communities.

QIT Press - International Journal of Artificial Intelligence and Machine Learning Research and Development (QITP-IJAIMLRD) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Machine Learning, Emerging Trends and Technologies, Multidisciplinary , Online , 3-issues-year Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2384-7195, Established: 2024,
  • Provides Crossref DOI

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

Indexing

Publications of QITP-IJAIMLRD

Dynamic Route Optimization and Real-Time Freight Tracking in the Transportation Industry
Laxmikanth Mukund May, 2025
In this paper, there is discussed the integration of AI/ML for dynamic route optimization and Blockchain for real time, transparent freight tracking in the transportation industry. It increa...
AI-Powered Generative Framework for Automated Clinical Audit Narratives: Regulated Prompt Engineering with LLMs and NLP
Gangadhar Vasanthapuram May, 2025
This paper explores an AI-powered framework designed to automate clinical audit narratives, leveraging large language models (LLMs) and natural language processing (NLP). The system employs ...
Robustness and Fairness Challenges in Federated Machine Learning Models for Privacy-Preserving Predictive Healthcare Applications
Armstrong Beaulieu July, 2024
Federated machine learning (FML) has emerged as a transformative approach for privacy-preserving healthcare applications by enabling collaborative model training without centralizing sensiti...
Optimizing Big Data Pipelines with Stream Processing Frameworks in Hybrid IT Environments
Research Scholar April, 2023
The growing demand for real-time data analytics in organizations has shifted the paradigm from traditional batch processing to stream-based architectures. In hybrid IT environments. where in...