Journals

  • Transactions on Artificial Intelligence and Data Science

    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.

  • Transactions on Intelligent Computing and Data Systems

    Transactions on Intelligent Computing and Data Systems (TICDS) is an international, peer-reviewed scholarly journal dedicated to publishing high-quality research in the fields of intelligent computing, data science, and multidisciplinary technological systems. The journal provides a global platform for researchers, academicians, and industry professionals to present innovative methodologies, theoretical advancements, and practical applications that address complex real-world challenges through data-driven and intelligent solutions.

    TICDS emphasizes the integration of Artificial Intelligence, machine learning, and advanced data systems with modern computing infrastructures. It encourages contributions that demonstrate originality, scalability, and impact across diverse domains including healthcare, finance, education, smart cities, and industrial automation.

    Aims and Scope
    The journal covers, but is not limited to, the following areas:

    • Artificial Intelligence and Machine Learning
    • Data Science, Big Data Analytics, and Data Mining
    • Intelligent Computing Systems and Algorithms
    • Internet of Things (IoT) and Smart Systems
    • Cloud Computing, Edge Computing, and Distributed Systems
    • Natural Language Processing and Computer Vision
    • Cybersecurity and Privacy in Data Systems
    • Interdisciplinary applications of intelligent technologies

    Publication Types
    TICDS publishes original research articles, review papers, short communications, case studies, and technical notes that contribute to the advancement of intelligent computing and data systems.

    Peer Review Policy
    All submissions undergo a rigorous double-blind peer review process to ensure quality, originality, and relevance. The journal follows strict ethical guidelines and maintains transparency throughout the review and publication process.

    Mission
    The mission of TICDS is to promote excellence in research and innovation by fostering global collaboration and disseminating knowledge in intelligent computing and data-driven systems.

    Vision
    The journal aims to become a globally recognized publication known for its contribution to cutting-edge research and multidisciplinary advancements in intelligent computing and data science.

  • Transactions on Advanced AI and Data Engineering

    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