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International Journal of Artificial Intelligence (IJAI)

Publisher :

International Journal of Artificial Intelligence (IJAI)

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)

    • +5

e-ISSN :

AwaiedX-XXXX

Issue Frequency :

Monthly

Impact Factor :

23.6

Est. Year :

2025

DOI :

YES

Country :

United States

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 in - 2025, Impact Factor - 23.6

Provide Crossref DOI

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

Indexing

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Google Scholar
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Research Gate
Scopus Profile
DOI Foundation

+2 More

Publications of IJAI

  • dott image March, 2018

Proficient Information Method for Inconsistency Detection in Multiple Data Sources

  • dott image qit press
  • dott image May, 2025

Privacy-Preserving Analytical Pipelines Using Differential Privacy and Secure Multi-Party Computation in Federated Cloud Frameworks

The exponential growth of data in cloud-based systems, coupled with rising concerns about data privacy, has spurred the demand for secure, privacy-preserving analytical methods. This paper p...

  • dott image qit press
  • dott image May, 2025

Cognitive Control Systems for Autonomous Robotic Manipulation Using Deep Imitation Learning and Sensor Fusion

This paper explores the integration of deep imitation learning and sensor fusion in cognitive control systems for autonomous robotic manipulation. The convergence of these technologies allow...

  • dott image Research Scholar
  • dott image October, 2024

Cross-Domain Transfer Learning Strategies for Enhancing Diagnostic Accuracy in Low-Resource Medical Imaging Contexts

In recent years, transfer learning has emerged as a pivotal strategy to address data scarcity in medical imaging, especially in low-resource settings where labeled diagnostic images are limi...

  • dott image SB Vinay
  • dott image March, 2025

Designing a Scalable Data Integration Framework for Multi-Source Inputs in Salesforce Dashboards

In the age of data-driven decision-making, Salesforce dashboards have emerged as a cornerstone for real-time analytics in enterprise environments. However, integrating heterogeneous data sou...

  • dott image April, 2025

Development and Evaluation of Bioinspired Robotic Systems for Adaptive Locomotion Across Unstructured Natural Terrains

Bioinspired robotic systems have emerged as promising platforms capable of robust locomotion across unstructured and unpredictable terrains. Mimicking the adaptive strategies of biological o...

  • dott image May, 2025

Understanding the Ethical Implications and Societal Challenges of Deploying Large-Scale Artificial Intelligence Applications Across Public and Private...

The rapid advancement of artificial intelligence (AI) technologies has ushered in unprecedented opportunities and risks across public and private sectors. In 2022, society grappled with ethi...

  • dott image January, 2020

Comparative Analysis of Reinforcement Learning Architectures in Multi-Agent Environments for Coordinated Problem Solving

Reinforcement Learning (RL) has seen significant advancements in multi-agent environments, particularly for coordinated problem-solving tasks. This study provides a comparative analysis of k...

  • dott image July, 2020

Deep Learning Architectures for Multimodal Data Fusion in Natural Language Processing and Computer Vision

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...

  • dott image January, 2021

Ethical Frameworks for Mitigating Algorithmic Bias in Artificial Intelligence Systems Deployed at Scale

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...

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