About Journal of Artificial Intelligence and Big Data
Aims & Scope
Aims and Scope
The Journal of Artificial Intelligence and Big Data is dedicated to publishing cutting-edge research at the intersection of AI, machine learning, and large-scale data analytics. The journal promotes innovative methodologies and applications that transform data into actionable insights.
Scope covers:
- Machine learning and deep learning
- Big data analytics and data mining
- Natural language processing
- Computer vision and pattern recognition
- AI ethics and responsible AI
- Reinforcement learning
- Knowledge graphs and semantic web
- Edge computing and IoT analytics
- Data visualization and interpretability
- AI applications in healthcare, finance, and science
The journal publishes original algorithms, system architectures, empirical studies, and comprehensive reviews that advance AI and big data technologies.
Journal Information
| Journal Name | Journal of Artificial Intelligence and Big Data |
| ISSN (Online) | 2771-2389 |
| Publisher | Scientific Publications |
| Publication Frequency | |
| Open Access | Yes |
| Language | English |
Peer Review Process
Journal of Artificial Intelligence and Big Data follows a rigorous peer review process to ensure the quality and integrity of published research.
Average Time to First Decision: 0 days
Editorial Policies
Open Access
All articles are freely available to readers worldwide. Authors retain copyright under a CC BY 4.0 license.
Publication Ethics
We follow COPE guidelines and maintain the highest standards of publication ethics.
Plagiarism Policy
All submissions are screened for plagiarism using professional software.
Abstracting & Indexing
Journal of Artificial Intelligence and Big Data is indexed in the following Abstracting and Indexing databases:
DOI Registration: Crossref
Ready to submit your research?
Join our community of authors and share your discoveries with the world
Submit Your Manuscript