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Short term memory

Shear wave velocity prediction using Long Short-Term Memory Network with generative adversarial mechanism

Xingan Fu, Youhua Wei, [ ... ], Quan Wang

Circular saw blade wear status prediction based on generative adversarial network and CNN-LSTM model

Chao Zeng, Chengchao Wang, [ ... ], Sheng Xiao

Verification and application of deep learning models in daily sports activities of teenagers

Lei Shi

Enhanced separation of long-term memory from short-term memory on top of LSTM: Neural network-based stock index forecasting

Hongfei Xiao

DDoS attack detection method based on improved convolutional long short-term memory and three-way decision in SDN

Haizhen Wang, Xiaojing Yang, Na Jia

LSTM-conformal forecasting-based bitcoin forecasting method for enhancing reliability

Xiangyue Zhang, Yuyun Kang, [ ... ], Keqing Wang

A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction

Guiyan Zhao, Yunfei Cheng, Jianhui Yang, Jiayuan Ouyang

Improved performance of fNIRS-BCI by stacking of deep learning-derived frequency domain features

Jamila Akhter, Hammad Nazeer, [ ... ], Seong Young Ko

Deep learning models for segmenting phonocardiogram signals: a comparative study

Hiam Alquran, Yazan Al-Issa, Mohammed Alsalatie, Shefa Tawalbeh

Forecasting stock prices using long short-term memory involving attention approach: An application of stock exchange industry

Muhammad Idrees, Maqbool Hussain Sial, Najam Ul Hassan

Accurate identification of oxygen desaturation status in COPD by using classifier ensemble

Yue-Fang Wu, Xin Shu, [ ... ], Pei-Li Sun

Investigating the performance of multivariate LSTM models to predict the occurrence of Distributed Denial of Service (DDoS) attack

Prashant Kumar, Chitra Kushwaha, [ ... ], Ankit Vidyarthi

An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection

Mohd Sakib, Tamanna Siddiqui, [ ... ], Mohammad Zunnun Khan

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