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A hybrid LightGBM-LSTM machine learning model for short-term water level forecasting in the Mekong River BasinAccurate short-term forecasting of river water levels plays an important role in flood risk management and water resource planning. This study proposes a hybrid forecasting framework that integrates... Author: Dũng Nguyễn Đình, Trinh Nguyen Hien Keyword: Machine learning models Time series forecasting LightGBM LSTM Hybrid model Mekong river
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Improving acoustic modeling for Vietnamese speech recognition via noise modelingAutomatic speech recognition (ASR) for Vietnamese still suffers severe accuracy loss in everyday acoustic scenes crowded with overlapping speech, popular music, traffic, and office equipment. We... Author: Nguyen Phuong Thu Keyword: Vietnamese Speech Recognition Acoustic Modeling Noise Modeling Data Augmentation TDNN-LSTM
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Applying artificial intelligence to enhance the quality of automated forex trading systemsTrend-following trading is a popular strategy in automated forex trading. This approach achieves high profitability and success rates in trending markets. However, this strategy per-forms poorly in... Author: Mai Hoan Van Keyword: Expert Advisor System RNN LSTM Time Series Forex Strategy
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Sentence representation using LSTM for finding questionLearning sentence representation with the full semantics of a document is a challenge in natural language processing problems because if the semantic representation vector of the sentence is suitable,... Author: Linh Dinh Khanh, Huy Tran Quang Keyword: LSTM NLPDeep learning QACQA learning sentence representation
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Research on the application of artificial intelligence techniques in price forecasting of some commoditiesThe global economy is significantly impacted by changes in the price of primary commodities. As a result, both the academic and professional sectors have paid attention to price predictions for major... Author: Son Nguyen Thai Keyword: Primary Commodities Price Forecasting GMDH ANFIS ANN LSTM
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BiDAF model in sentiment analysis taskSentiment analysis is a critical job in natural language processing. Controlling and evaluating customer feedback on their goods is a task that companies are especially interested in. For reading... Author: Huế Lương Thị Minh Keyword: Natural language processing; LSTM; deep learning; machine learning; BiDAF.
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