has been cited by the following article(s):
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[1]
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Machine Learning-Based Decision Framework for FOREX Trading: Forecasting and Recommendations
Computational Economics,
2026
DOI:10.1007/s10614-025-11278-4
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[2]
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Transfer learning for predicting of gross domestic product growth based on remittance inflows using RNN-LSTM hybrid model: a case study of The Gambia
Frontiers in Artificial Intelligence,
2025
DOI:10.3389/frai.2025.1510341
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[3]
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Soft Computing and Signal Processing
Lecture Notes in Networks and Systems,
2025
DOI:10.1007/978-981-97-9926-8_3
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[4]
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Development of Hybrid Deep Learning and Reinforcement Learning for Intelligent Trading in Forex Markets
SSRN Electronic Journal,
2025
DOI:10.2139/ssrn.5355665
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[5]
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Ensemble Hybrid LSTM Architectures for Robust Multi-Currency Forex Forecasting
2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV),
2025
DOI:10.1109/ICICV64824.2025.11085759
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[6]
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Multi-Aspect Sentiment Analysis for Hotel Reviews with Hybrid RNN-Long Short-Term Memory (LSTM) Method
2025 International Conference on Data Science and Its Applications (ICoDSA),
2025
DOI:10.1109/ICoDSA67155.2025.11157558
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[7]
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A Transfer Learning Approach to Create Energy Forecasting Models for Building Fleets
2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm),
2024
DOI:10.1109/SmartGridComm60555.2024.10738094
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