Modelling Particulate Matter Using Multivariate and Multistep Recurrent Neural Networks by Tushar Saini, Pratik Chaturvedi, Pratik Chaturvedi, Varun Dutt

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Models for COVID-19 Data Prediction Based on Improved LSTM-ARIMA Algorithms by Yong-Chao Jin, Qian Cao, Qian Sun, Ye Lin, Dong-Mei Liu, Shan-Yu, Chen-Xi Wang, Xiao-Ling Wang, Xi-Yin Wang

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A comparative analysis of Silverkite and inter-dependent deep learning models for bitcoin price prediction by Nrusingha Tripathy, Subrat Kumar Nayak, Sashikanta Prusty

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RNN-Based Monthly Inflow Prediction for Dez Dam in Iran Considering the Effect of Wavelet Pre-Processing and Uncertainty Analysis by Arash Adib, Mohammad Pourghasemzadeh, Morteza Lotfirad

Subjects: “…LSTM…”
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A Stock Prediction Method Based on Heterogeneous Bidirectional LSTM by Shuai Sang, Lu Li

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Stock Market Index Prediction using Bi-directional Long Short-Term Memory by Muhammad Althaf Majid, Prilyandari Dina Saputri, Soehardjoepri Soehardjoepri

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Application of Deep-Learning-Based Models for Prediction of Stock Price in the Iranian Stock Market by Abdulrashid Jamnia, Mohammad Reza Sasouli, Emambakhsh Heidouzahi, Mohsen Dahmarde Ghaleno

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Practical Study of Recurrent Neural Networks for Efficient Real-Time Drone Sound Detection: A Review by Dana Utebayeva, Lyazzat Ilipbayeva, Eric T. Matson

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Predicting short-term energy usage in a smart home using hybrid deep learning models by Imane Hammou Ou Ali, Ali Agga, Mohammed Ouassaid, Mohamed Maaroufi, Ali Elrashidi, Hossam Kotb

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Prediction of significant wave height using a VMD-LSTM-rolling model in the South Sea of China by Tong Ding, De’an Wu, Liangshuai Shen, Qiang Liu, Xiaogang Zhang, Yuming Li

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Study and Analysis of Stock Market Prediction Techniques by Kokare Siddhesh, Kamble Anvit, Kurade Shubham, Patil Deepali

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Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals by Bishwajit Roy, Lokesh Malviya, Radhikesh Kumar, Sandip Mal, Amrendra Kumar, Tanmay Bhowmik, Jong Wan Hu

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SARIMA-LSTM Combination For COVID-19 Case Modeling by Imam Tahyudin, Rizki Wahyudi, Hidetaka Nambo

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Prediction of Remaining Useful Life of Aero-engines Based on CNN-LSTM-Attention by Sizhe Deng, Jian Zhou

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Diagnosis and Prediction for Loss of Coolant Accidents in Nuclear Power Plants Using Deep Learning Methods by Jingke She, Tianzi Shi, Shiyu Xue, Yan Zhu, Shaofei Lu, Peiwei Sun, Huasong Cao

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HyBiLSTM: Multivariate Bitcoin Price Forecasting Using Hybrid Time-Series Models With Bidirectional LSTM by Anny Mardjo, Chidchanok Choksuchat

Subjects: “…LSTM…”
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Comparison of machine learning and deep learning techniques for the prediction of air pollution: a case study from China by Ishan Ayus, Narayanan Natarajan, Deepak Gupta

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Real-Time Locational Detection of Stealthy False Data Injection Attack in Smart Grid: Using Multivariate-Based Multi-Label Classification Approach by Hanem I. Hegazy, Adly S. Tag Eldien, Mohsen M. Tantawy, Mostafa M. Fouda, Heba A. TagElDien

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Prediction of Node Importance of Power System Based on ConvLSTM by Xu Wu, Junqi Geng, Meng Liu, Zongxun Song, Huihui Song

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Supervised ECG wave segmentation using convolutional LSTM by Aman Malali, Srinidhi Hiriyannaiah, Siddesh G.M., Srinivasa K.G., Sanjay N.T.

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