About the Journal
Transactions on Artificial Intelligence and Data Science (TAIDS) is an international, peer-reviewed scholarly journal dedicated to advancing research, innovation, and practical applications in the fields of Artificial Intelligence (AI), Data Science, and interdisciplinary computational technologies. The journal serves as a global platform for researchers, academicians, industry experts, and practitioners to publish high-quality, original contributions that address real-world challenges using intelligent data-driven approaches.
Scope and Focus
TAIDS aims to bridge the gap between theory and practice by publishing cutting-edge research across a wide range of domains, including but not limited to:
- Artificial Intelligence and Machine Learning
- Deep Learning and Neural Networks
- Data Science, Big Data Analytics, and Data Mining
- Natural Language Processing and Computer Vision
- Internet of Things (IoT) and Smart Systems
- Explainable AI (XAI) and Ethical AI
- AI in Healthcare, Finance, Education, and Governance
- Cybersecurity and Privacy in Intelligent Systems
- Cloud Computing and Edge AI
- Multidisciplinary applications of AI and data-driven technologies
Key Features
- Rigorous double-blind peer review process
- Focus on novel, impactful, and reproducible research
- Encouragement of interdisciplinary and applied research
- Global editorial board comprising leading researchers and industry professionals
- Rapid yet quality-focused publication cycle
Types of Publications
TAIDS welcomes submissions in the form of:
- Original Research Articles
- Review Papers and Survey Articles
- Short Communications
- Case Studies and Industrial Reports
Mission
The mission of TAIDS is to foster innovation and knowledge dissemination in AI and Data Science, enabling the development of intelligent solutions that contribute to sustainable development and societal advancement worldwide.
Current Issue
Vol. 3 No. 3 (2025): TAIDS
Transactions on Artificial Intelligence and Data Science (TAIDS) is an international, peer-reviewed scholarly journal dedicated to advancing research, innovation, and practical applications in the fields of Artificial Intelligence (AI), Data Science, and interdisciplinary computational technologies. The journal serves as a global platform for researchers, academicians, industry experts, and practitioners to publish high-quality, original contributions that address real-world challenges using intelligent data-driven approaches.
Published: 2025-12-31