International Journal of Data Science and Artificial Intelligence (IJDSAI) is a scholarly peer-reviewed journal that publishes modern researches and innovation.

Aim and Scope:

The International Journal of Data Science and Artificial Intelligence (IJDSAI) brings together industry professionals, researchers, thought leaders, and potential users of data science and analytics to advance the field, discuss emerging issues and opportunities, share best practices, and encourage interdisciplinary and cross-domain collaborations. The journal is divided into three sections: Regular, which communicates original and replicable theoretical and experimental findings; Applications, which highlights significant data science applications to practical issues; and Trends, which presents expert opinion and thorough surveys and reviews of pertinent fields and topics in data science and analytics. Topics of interest include, but are not limited to:

The primary concepts under the system design and computing invloves the following:

• Current trends in big data technologies
• Use of big data analytics to power AI (artificial intelligence) and ML (machine learning) automation
• Parallel big data programming and processing techniques
• Association Rule Learning and data mining.
• Clustering and an online spherical approach.
• Quantum Computing
• Healthcare
• Autonomous Vehicles
• Internet of Things
• 10. Robotics
• Predictive Maintenance
• Design Optimization
• Manufacturing and Quality Control
• Energy Efficiency
• Structural Health Monitoring
• Traffic Management
• Supply Chain Optimization
• Environmental Monitoring
• Robotics and Automation
• Healthcare Engineering
• Agricultural Engineering
• Biomedical Engineering
• Consumer Electronics and IoT
• Space Exploration
• Cybersecurity