Aim of the Journal
The International Journal of Artificial Intelligence and Data Analytics (IJAIDA) aims to provide a premier platform for researchers, academics, and industry professionals to publish their cutting-edge work in the fields of Artificial Intelligence, Data Science, and Computer Applications.
Primary Objectives
- To publish high-quality original research in AI and Data Analytics
- To bridge the gap between theoretical research and practical applications
- To promote interdisciplinary research combining AI with other domains
- To provide open access to quality research worldwide under CC-BY 4.0 license
Scope of the Journal
The journal covers, but is not limited to, the following topics:
Artificial Intelligence
- Machine Learning and Deep Learning
- Neural Networks and Evolutionary Computing
- Expert Systems and Fuzzy Logic
- Natural Language Processing
- Computer Vision and Pattern Recognition
Data Science
- Big Data Analytics and Technologies
- Data Mining and Knowledge Discovery
- Predictive Modeling and Forecasting
- Data Visualization and Communication
- Business Intelligence
Computer Applications
- Software Development and Engineering
- Web Technologies and Cloud Computing
- Mobile Computing and IoT
- Cybersecurity and Blockchain
- Quantum Computing
Types of Articles Published
- Original Research Articles: Full-length papers reporting novel research (4000-8000 words)
- Review Articles: Comprehensive reviews of specific research areas (5000-10000 words)
- Short Communications: Brief reports of significant findings (2000-3000 words)
- Case Studies: Practical applications and implementations
- Technical Notes: Methodological developments and techniques
Note: All articles are published under CC-BY 4.0 license.