Call For Papers
The ICPAML 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 Machine Learning, 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 modeling in healthcare using ML
- Customer behavior prediction with analytics
- Sales forecasting using machine learning
- Predictive maintenance in manufacturing
- Risk prediction in financial markets
- Churn prediction in subscription services
- Predictive analytics for marketing strategies
- Machine learning for demand forecasting
- Event prediction using time series data
- Predictive analytics in sports performance
- Social media trend prediction with ML
- Weather forecasting using predictive models
- Predictive analytics in supply chain management
- Customer lifetime value prediction models
- Fraud prediction in e-commerce
- Predictive analytics for HR management
- Real estate price prediction using ML
- Predictive analytics in education systems
- Data-driven decision making with predictive analytics
- Future directions in predictive analytics research
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.