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.