Call For Papers
The ICPADSS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Computational Science,Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Predictive analytics in healthcare applications
- Decision support systems for smart cities
- Machine learning techniques for decision making
- Data-driven approaches for predictive modeling
- Real-time analytics for business intelligence
- Risk assessment using predictive analytics
- User-centered design in decision support systems
- Ethical implications of predictive analytics
- Big data challenges in decision support
- Integrating AI into decision-making frameworks
- Case studies in predictive analytics success
- Visualization techniques for predictive insights
- Impact of data quality on predictions
- Collaborative decision-making systems
- Predictive analytics in supply chain management
- Machine learning for risk mitigation strategies
- Evaluating the effectiveness of decision support
- Trends in predictive analytics research
- Future directions in decision support systems
- Interdisciplinary approaches to predictive analytics
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.