Transactions on Advanced AI and Data Engineering (TAAIDE) is an international, peer-reviewed scholarly journal dedicated to publishing high-quality, original research in the fields of Artificial Intelligence, Data Engineering, and multidisciplinary computational systems. The journal aims to provide a global platform for researchers, academicians, and industry professionals to share innovative ideas, methodologies, and applications that leverage intelligent algorithms and large-scale data infrastructures.

TAAIDE focuses on the convergence of AI technologies with modern data engineering practices, emphasizing the development of scalable, efficient, and robust systems capable of handling complex data-driven challenges. The journal encourages contributions that bridge theoretical research and practical implementation, enabling the deployment of intelligent solutions across real-world environments.

---

Aims and Scope

The journal covers a broad spectrum of topics, including but not limited to:

Artificial Intelligence and Machine Learning

• Machine Learning and Deep Learning
• Reinforcement Learning and Optimization
• Explainable and Responsible AI
• AI Model Development and Evaluation

Data Engineering and Big Data Systems

• Data Pipelines, ETL/ELT Processes
• Data Warehousing and Data Lakes
• Big Data Processing Frameworks
• Real-time and Stream Data Processing

Cloud, Distributed, and Scalable Systems

• Cloud Computing Architectures
• Edge and Fog Computing
• Distributed Systems and Microservices
• High-performance and Scalable Computing

AI Infrastructure and MLOps

• Model Deployment and Monitoring
• MLOps Pipelines and Automation
• Data Versioning and Model Governance
• AI System Reliability and Optimization

Security and Privacy

• Data Security and Privacy-preserving Techniques
• AI in Cybersecurity
• Secure Data Engineering Practices

Multidisciplinary Applications

• AI and Data Engineering in Healthcare
• FinTech and Intelligent Financial Systems
• Smart Cities and IoT Systems
• Industrial Automation and Industry 4.0

---

Types of Publications

TAAIDE welcomes the following types of submissions:

• Original Research Articles
• Review and Survey Papers
• Short Communications
• Case Studies and Industrial Reports
• Technical Notes and System Implementations

---

Peer Review Process

All manuscripts submitted to TAAIDE undergo a rigorous double-blind peer review process to ensure the highest standards of quality, originality, and relevance. Each submission is evaluated by domain experts and members of the editorial board. The journal follows a transparent and ethical review process aligned with international publishing standards.

---

Mission

The mission of TAAIDE is to advance research and innovation in Artificial Intelligence and Data Engineering by promoting interdisciplinary collaboration, fostering technological development, and enabling the dissemination of impactful knowledge.

---

Vision

TAAIDE aims to become a globally recognized, high-impact journal that leads advancements in AI-driven data systems and serves as a trusted resource for researchers, practitioners, and policymakers worldwide.

---

Key Features

• International peer-reviewed journal
• Strong focus on scalability and real-world applications
• Encouragement of interdisciplinary and applied research
• Global editorial board and reviewer network
• Rapid yet quality-focused publication cycle

---

Target Audience

• Researchers and Academicians
• Data Engineers and AI Practitioners
• Industry Professionals and Technology Leaders
• Research Scholars and Students

---

Ethics and Publication Policy

TAAIDE adheres strictly to international publication ethics, including:

• Anti-plagiarism and originality requirements
• Double-blind peer review standards
• Ethical research and citation practices
• Transparency and integrity in publishing