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Journal Photo for International Journal of Artificial Intelligence
Peer reviewed only Open Access

International Journal of Artificial Intelligence (IJAI)

Publisher : International Journal of Artificial Intelligence (IJAI)
Machine Learning Deep Learning Natural Language Processing (NLP)
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e-ISSN AwaiedX-XXXX
Issue Frequency Monthly
Impact Factor 23.6
Est. Year 2025
DOI YES
Language English
APC YES
Impact Factor Assignee Google Scholar
Email Chiefeditor.ijai@gmail.com

Journal Descriptions

International Journal of Artificial Intelligence (IJAI) is a peer-reviewed, open-access journal dedicated to publishing high-quality research on the theory, methods, and applications of artificial intelligence. Covering diverse areas like machine learning, robotics, NLP, and AI ethics, IJAI serves as a global platform for academics, professionals, and educators to share innovative findings and foster interdisciplinary collaboration in the rapidly evolving AI field.

International Journal of Artificial Intelligence (IJAI) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Machine Learning, Deep Learning, Natural Language Processing (NLP), Robotics, Automation, Applications of AI, Computer Vision, Generative AI , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: AwaiedX-XXXX, Established: 2025, Impact Factor: 23.6
  • Provides Crossref DOI

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

Indexing

Publications of IJAI

Integrating AI and Big Data Analytics into Business Information Systems: A Roadmap for Digital Transformation
Enzo Kash August, 2023
The rapid evolution of Artificial Intelligence (AI) and Big Data Analytics (BDA) is transforming Business Information Systems (BIS) by enabling data-driven decision-making, real-time insight...
AI-POWERED SPEECH EMOTION RECOGNITION FOR PERSONALIZED ASSISTANTS
Narayana Gaddam September, 2024
The introduction of AI AIpowered speech emotion recognition (SER) acts as a major enabler for the personalized assistants to recognize and understand human emotion to react to them according...
Generative Adversarial Networks for the Synthesis of Realistic Virtual Environments in Training Simulations
Nandini Umesh Yadav October, 2024
Generative Adversarial Networks (GANs) have emerged as a transformative technology in synthesizing hyper-realistic virtual environments, particularly for training simulations across various ...
Algorithmic Innovations for Autonomous Navigation in Dynamic and Unstructured Environments
Ranjit Singh April, 2024
Autonomous navigation in dynamic and unstructured environments has emerged as a pivotal challenge in robotics and artificial intelligence. This paper explores algorithmic innovations tailore...
Defining Metrics for Evaluating General Artificial Intelligence Across Diverse Problem Domains
Luv M August, 2023
Defining robust and universal metrics for evaluating General Artificial Intelligence (GAI) is essential for its development and implementation across diverse problem domains. This paper expl...
A Quantitative Study of Privacy-Preserving Techniques in Federated Learning for Distributed Systems
Ranjit Kumar March, 2023
Federated Learning (FL) has emerged as a transformative approach for collaborative learning in distributed systems, allowing data to remain decentralized while enabling joint model training....
Artificial Intelligence-Driven Personalization Algorithms for Enhancing User Engagement in Digital Ecosystems
Mudit Jain August, 2022
Artificial intelligence (AI)-driven personalization algorithms are transforming digital ecosystems by enhancing user engagement through tailored experiences. These algorithms leverage data t...
Frameworks for Explainable Artificial Intelligence in High-Stakes Decision-Making Environments Such as Healthcare and Finance
Mudit Jain July, 2021
Explainable Artificial Intelligence (XAI) has become pivotal in high-stakes decision-making environments like healthcare and finance, where the interpretability of AI-driven decisions direct...
Ethical Frameworks for Mitigating Algorithmic Bias in Artificial Intelligence Systems Deployed at Scale
Soham T January, 2021
The deployment of artificial intelligence (AI) systems at scale has brought significant advancements but also raised critical ethical concerns, particularly around algorithmic bias. These bi...
Deep Learning Architectures for Multimodal Data Fusion in Natural Language Processing and Computer Vision
Arun M July, 2020
Multimodal data fusion combines information from multiple modalities, such as text and images, to achieve a richer representation for natural language processing (NLP) and computer vision (C...