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Author

Toai Kim Tran

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Open access 2026

Hybrid LSTM–HMM framework for regime-aware cryptocurrency price forecasting

The rapid evolution of digital finance and blockchain technology has positioned cryptocurrencies as significant yet highly volatile financial assets. Their nonlinear and regime-shifting price behavior challenges traditional econometric and deep learning models, creating a need for more adaptive forecasting frameworks....

T. Tran, Minh Nguyen · 0 citations
Open access Aug 2026

Optimizing bank customer churn prediction with machine learning models: a comparative study

This study utilizes five machine learning algorithms to classify and predict churn behavior based on financial and demographic characteristics from a dataset of 10,000 customers of a confidential multinational bank. This dataset is publicly accessible on Kaggle. The models in this study are random forest (RF), decision...

T. Tran, Thinh-Tien Bui · 0 citations

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