Call For Papers
The ICPASM 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 Statistics, 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 techniques and applications
- Machine learning in predictive modeling
- Statistical methods for forecasting
- Applications of predictive analytics in business
- Predictive modeling in healthcare
- Ethics in predictive analytics research
- Predictive analytics in social sciences
- Time series forecasting methods
- Predictive analytics for customer behavior
- Statistical challenges in predictive modeling
- Predictive analytics in finance and investment
- Big data and predictive analytics integration
- Applications of predictive modeling in marketing
- Predictive analytics for risk assessment
- Recent advancements in predictive analytics
- Predictive modeling in sports analytics
- Data visualization in predictive analytics
- Predictive analytics for supply chain management
- Future trends in predictive modeling
- Statistical software for 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.