S M Shamsul Arefeen
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Also affiliated: University of Massachusetts Boston (2024)
Research Areas
Biography and Research Information
OverviewAI-generated summary
S M Shamsul Arefeen's research focuses on the application of artificial intelligence and machine learning for economic forecasting. His work investigates the use of AI-powered precision in machine learning models for real-time currency exchange rate forecasting, specifically within BRICS economies. Arefeen's recent publication in 2024 highlights this area of study.
Metrics
- h-index: 1
- Publications: 1
- Citations: 12
Selected Publications
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Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies (2024)
Collaboration Network
Top Collaborators
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
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