Call For Papers

The ICPAML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Predictive modeling in healthcare using ML
02
Customer behavior prediction with analytics
03
Sales forecasting using machine learning
04
Predictive maintenance in manufacturing
05
Risk prediction in financial markets
06
Churn prediction in subscription services
07
Predictive analytics for marketing strategies
08
Machine learning for demand forecasting
09
Event prediction using time series data
10
Predictive analytics in sports performance
11
Social media trend prediction with ML
12
Weather forecasting using predictive models
13
Predictive analytics in supply chain management
14
Customer lifetime value prediction models
15
Fraud prediction in e-commerce
16
Predictive analytics for HR management
17
Real estate price prediction using ML
18
Predictive analytics in education systems
19
Data-driven decision making with predictive analytics
20
Future directions in predictive analytics research

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.



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