Results 1 to 10 of about 11,242 (152)
Ship Motion-Based Prediction of Damage Locations Using Bidirectional Long Short-Term Memory
한국해양공학회지, 2022 The initial response to a marine accident can play a key role to minimize the accident. Therefore, various decision support systems have been developed using sensors, simulations, and active response equipment. In this study, we developed an algorithm to
Hye-young Son +5 more
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Digital Transportation and Safety, 2023 Accurate and real-time passenger flow prediction of rail transit is an important part of intelligent transportation systems (ITS). According to previous studies, it is found that the prediction effect of a single model is not good for datasets with large
Qianru Qi, Rongjun Cheng, Hongxia Ge
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Journal of Intelligent Systems, 2023 This study proposes an emotional analysis method of consumer comment text based on Bidirectional Encoder Representations from Transformers (BERT) and hierarchical attention.
Chang Wanjun, Zhu Mingdong
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Connection Science, 2022 Manual evaluation could be time-consuming, unreliable and unreproducible in Chinese-English interpretation. Therefore, it is necessary to develop an automatic scoring system.
Xinguang Li +4 more
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Deep learning para la clasificación de usos de suelo agrícola con Sentinel-2
Revista de Teledetección, 2020 En el campo de la teledetección se ha producido recientemente un incremento del uso de técnicas de aprendizaje profundo (deep learning). Estos algoritmos se utilizan con éxito principalmente en la estimación de parámetros y en la clasificación de ...
M. Campos-Taberner +3 more
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TEXT CLASSIFICATION OF TWITTER OPINION RELATED TO PERMENDIKBUD 30/2021 USING BIDIRECTIONAL LSTM
Barekeng, 2023 During the COVID-19 outbreak, sexual violence in Indonesia has risen. Sexual abuse is prevalent even within the realm of education. Many incidents of sexual assault are reported within the higher education sector.
Zakiyatul Fitriyah +1 more
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An emotional classification method of Chinese short comment text based on ELECTRA
Connection Science, 2022 Chinese short comment texts have the characteristics of feature sparseness, interlacing, irregularity, etc., which makes it difficult to fully grasp the overall emotional tendency of users.
Shunxiang Zhang, Hongbin Yu, Guangli Zhu
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Evaluation of PSO-BiLSTM method for stock price forecasting using stock price time series data (Case study: Iran Stock Exchange and OTC stock) [PDF]
راهبرد مدیریت مالی, 2022 In recent years, with the increase in the penetration rate of the capital market, more people have invested in the stock market. Predicting the stock prices accurately with the least error can reduce investment risk and increase investment return. Due to
Jalil Vaziri Kordestani +3 more
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Two-Way Truth Seeker: A Hybrid Method Using LSTM and BiLSTM to Recognize and Classify Fake News [PDF]
E3S Web of ConferencesIn the era of digitization, news spreads, which has turned out to be a big challenge because people seem to be being systematically misinformed. This lowers the credibility of information given on the web and brings threats against social stability ...
Harika Juturu, Jakeer Hussain Shaik
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MOBILE U-NET V3 AND BILSTM: PREDICTING STOCK MARKET PRICES BASED ON DEEP LEARNING APPROACHES
Jordanian Journal of Computers and Information Technology, 2023 The development of reliable stock market models has enabled investors to make better-informed decisions. Investors may be able to locate companies that offer the highest dividend yields and lower their investment risks by using a trading strategy.
D Murahari Reddy, Balamanigandan R.
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