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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
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: 2025, Impact Factor: 23.6
  • Provides Crossref DOI

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

Indexing

Publications of IJAI

Proficient Information Method for Inconsistency Detection in Multiple Data Sources
B. BAZEER AHAMED March, 2018
Privacy-Preserving Analytical Pipelines Using Differential Privacy and Secure Multi-Party Computation in Federated Cloud Frameworks
qit press May, 2025
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...
Cognitive Control Systems for Autonomous Robotic Manipulation Using Deep Imitation Learning and Sensor Fusion
qit press May, 2025
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...
Cross-Domain Transfer Learning Strategies for Enhancing Diagnostic Accuracy in Low-Resource Medical Imaging Contexts
Research Scholar October, 2024
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...
Designing a Scalable Data Integration Framework for Multi-Source Inputs in Salesforce Dashboards
SB Vinay March, 2025
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...
Development and Evaluation of Bioinspired Robotic Systems for Adaptive Locomotion Across Unstructured Natural Terrains
Lemmens Van April, 2025
Bioinspired robotic systems have emerged as promising platforms capable of robust locomotion across unstructured and unpredictable terrains. Mimicking the adaptive strategies of biological o...
Understanding the Ethical Implications and Societal Challenges of Deploying Large-Scale Artificial Intelligence Applications Across Public and Private...
Samantha Caitlin May, 2025
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...
Comparative Analysis of Reinforcement Learning Architectures in Multi-Agent Environments for Coordinated Problem Solving
Akshita T January, 2020
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...
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...
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...