Aims and Scope

JPUB AI is an international, peer-reviewed, open-access journal dedicated to publishing high-quality research in the field of Artificial Intelligence (AI), Machine Learning, Data Science, Robotics, Intelligent Systems, and emerging computational technologies. The journal aims to provide a global platform for researchers, academicians, engineers, healthcare professionals, and industry experts to share innovative ideas, theoretical advancements, practical applications, and interdisciplinary studies related to AI and intelligent computing.

JPUB AI promotes scientific excellence, ethical AI development, transparency, reproducibility, and real-world impact across academic, industrial, and societal domains. The journal welcomes original research articles, review papers, short communications, case studies, technical notes, and innovative application reports.

Scope of the Journal

The journal covers, but is not limited to, the following areas:

Artificial Intelligence
Machine Learning and Deep Learning
Generative AI and Large Language Models (LLMs)
Natural Language Processing (NLP)
Computer Vision and Image Processing
Robotics and Autonomous Systems
Expert Systems and Knowledge Representation
Data Science and Big Data Analytics
Reinforcement Learning
Neural Networks and Cognitive Computing
Explainable and Responsible AI
AI Ethics, Fairness, and Governance
Human–AI Interaction
Intelligent Decision Support Systems
Internet of Things (IoT) and Smart Systems
AI in Healthcare and Medical Informatics
Bioinformatics and Computational Biology
AI in Education, Agriculture, Finance, and Industry
Cybersecurity and Intelligent Threat Detection
Cloud AI and Edge Computing
Quantum AI and Emerging Intelligent Technologies
Computational Intelligence and Optimization Techniques
Speech Recognition and Conversational AI
Pattern Recognition and Predictive Analytics