Transactions on Artificial Intelligence and Data Science (TAIDS)

Transactions on Artificial Intelligence and Data Science (TAIDS) is an international, peer-reviewed scholarly journal committed to publishing high-quality, original research and innovations in the fields of Artificial Intelligence (AI), Data Science, and multidisciplinary computational sciences. The journal aims to serve as a global platform for researchers, academicians, industry experts, and practitioners to disseminate cutting-edge knowledge and impactful solutions that address complex real-world challenges.

TAIDS emphasizes both theoretical advancements and practical applications, fostering collaboration between academia and industry. The journal welcomes contributions that demonstrate innovation, scalability, and societal impact through intelligent data-driven technologies.


Mission

The mission of TAIDS is to promote excellence in research and innovation by:

  • Encouraging the development of advanced AI and data science methodologies
  • Supporting interdisciplinary research across diverse domains
  • Facilitating global knowledge exchange among researchers and professionals
  • Contributing to sustainable technological and societal development

 Vision

TAIDS envisions becoming a globally recognized, high-impact journal that:

  • Sets benchmarks in AI and Data Science research
  • Drives innovation across multidisciplinary domains
  • Becomes a trusted source for researchers, policymakers, and industry leaders

Aims & Scope

TAIDS publishes original research, reviews, and case studies in (but not limited to):

Artificial Intelligence & Machine Learning

  • Machine Learning Algorithms
  • Deep Learning & Neural Networks
  • Reinforcement Learning
  • Explainable AI (XAI)
  • Ethical and Responsible AI

???? Data Science & Analytics

  • Big Data Analytics
  • Data Mining and Knowledge Discovery
  • Predictive and Prescriptive Analytics
  • Data Visualization and Interpretation

Intelligent Systems & Emerging Technologies

  • Natural Language Processing (NLP)
  • Computer Vision and Image Processing
  • Robotics and Automation
  • Internet of Things (IoT) and Smart Systems
  • Edge AI and Cloud AI

Security & Systems

  • AI in Cybersecurity
  • Privacy-preserving AI
  • Secure Data Systems
  • Blockchain and AI Integration

Multidisciplinary Applications

  • AI in Healthcare and Bioinformatics
  • AI in Finance and FinTech
  • AI in Education and E-Learning
  • Smart Cities and Governance
  • Sustainable Development using AI

 Types of Publications

TAIDS accepts the following categories of manuscripts:

  • Original Research Articles (novel contributions)
  • Review Papers (comprehensive surveys)
  • Short Communications (preliminary findings)
  • Case Studies (industry or real-world applications)
  • Technical Notes (innovative methods/tools)

⚙️ Peer Review & Publication Process

  • Double-blind peer review ensuring unbiased evaluation
  • Review by international experts and editorial board members
  • Focus on quality, originality, and relevance
  • Transparent and ethical review process
  • Fast-track review option for high-impact submissions

Key Features

  • International editorial board with global representation
  • Strong focus on innovation and practical impact
  • Encouragement of interdisciplinary research
  • Rapid publication with quality assurance
  • Open access (optional / configurable based on your model)

 Indexing & Visibility (Planned)

TAIDS aims to be indexed in leading databases:

  • Google Scholar
  • Scopus (future target)
  • Web of Science (ESCI)
  • DOAJ (Directory of Open Access Journals)
  • CrossRef (for DOI assignment)

Target Audience

  • Researchers and Academicians
  • Data Scientists and AI Engineers
  • Industry Professionals and Innovators
  • Policy Makers and Technology Leaders
  • Students and Research Scholars

Ethics & Publication Policy

TAIDS strictly follows:

  • Publication ethics and anti-plagiarism policies
  • Double-blind peer review standards
  • International research and publishing guidelines
  • Zero tolerance for unethical practices

TAIDS is dedicated to shaping the future of Artificial Intelligence and Data Science by promoting high-quality research, fostering global collaboration, and enabling the development of intelligent solutions that benefit society at large.