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, 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