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Journal Photo for QIT Press - International Journal of Super AI Research and Development
Peer reviewed only Open Access

QIT Press - International Journal of Super AI Research and Development (QITP-IJSAIRD)

Publisher : QIT Press
Machine learning deep learning Natural language processing (NLP)
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e-ISSN 3821-5947
Issue Frequency Monthly
Est. Year 2020
Mobile 1234567809
DOI YES
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@qitpress.com

Journal Descriptions

The International Journal of Super AI Research and Development (QITP-IJSAIRD), published by QIT Press, is a leading open-access, peer-reviewed journal that serves as a platform for groundbreaking research in the field of artificial intelligence. With a publication frequency of two issues per annum, the journal provides researchers, academics, and industry practitioners with a venue to share novel methodologies, cutting-edge developments, and transformative applications in AI and related domains. Aim The aim of the International Journal of Super AI Research and Development (QITP-IJSAIRD) is to advance the frontiers of artificial intelligence by fostering the dissemination of innovative research, interdisciplinary collaboration, and the development of theoretical and practical solutions to global challenges. The journal seeks to bridge the gap between theory and application, promoting the responsible and ethical evolution of AI technologies for the benefit of humanity. Scope The journal encompasses a wide array of topics within the artificial intelligence landscape, emphasizing both foundational research and applied innovations. It is committed to publishing contributions that explore the theoretical underpinnings, algorithmic advancements, and real-world implementations of AI. Special attention is given to studies addressing ethical implications, sustainability, and the societal impact of super AI systems.

QIT Press - International Journal of Super AI Research and Development (QITP-IJSAIRD) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Machine learning, deep learning, Natural language processing (NLP), Computer vision, image processing, Robotics, intelligent systems, Explainable AI (XAI), AI ethics, governance, AI integration, AI-driven big data analytics, Human-AI collaboration, AI for social good, AI Research , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 3821-5947, Established: 2020,
  • Provides Crossref DOI

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

Indexing

Publications of QITP-IJSAIRD

Design and Evaluation of Resource-Aware AI Services Using Serverless Functions on the Cloud
mj iaeme November, 2024
As the demand for artificial intelligence (AI) services continues to scale, cloud-native paradigms like serverless computing have emerged as critical enablers of efficient, elastic, and cost...