Open Citations

Forecasting Stock Indices: Stochastic and Artificial Neural Network Models

Naman Krishna Pande, Arun Kumar, Arvind Kumar Gupta

Computational Economics · 2024

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Forecasting the Stock Market Index with Dynamic ARIMA Model and LSTM Model

Siyuan Zhu

Applied economics and policy studies · 2024

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Harnessding the Power of Machine Learning to Superchange CAPM Forecasts

Shuangzi Zhang

Advances in Economics Management and Political Sciences · 2024

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HyBiLSTM: Multivariate Bitcoin Price Forecasting Using Hybrid Time-Series Models With Bidirectional LSTM

Anny Mardjo, Chidchanok Choksuchat

IEEE Access · 2024

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Hybrid Deep Learning Model Integrating Attention Mechanism for the Accurate Prediction and Forecasting of the Cryptocurrency Market

Godfrey Joseph Saqware, Ismail B

Operations Research Forum · 2024

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Improving Long Short-Term Memory (LSTM)-Based Stock Market Price Predictions in the Machine Learning Era

Sarvesh Kumar, Nitin Pal, Aanjey Mani Tripathi

IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT) · 2024

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Long short-term memory algorithm for personalized tacrolimus dosing: A simple and effective time series forecasting approach post-lung transplantation

Haruki Choshi, Kentaroh Miyoshi, Maki Tanioka, Hayato Arai, Shin Tanaka, Kazuhiko Shien, Ken Suzawa, Mikio Okazaki, Seiichiro Sugimoto, Shinichi Toyooka

The Journal of Heart and Lung Transplantation · 2024

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Long Short-Term Memory Networks for Predicting LQ45 Index Trends in Infrastructure Stocks*

C. Maximiliano, Eunike Endariahna Surbakti, Rangga Winantyo, Jantianus, M. Vasty, Wirawan Istiono

International Conference on Advanced Robotics and Mechatronics (ICARM) · 2024

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Machine Learning Algorithms for Forecasting and Categorizing Euro-to-Dollar Exchange Rates

Mohamed El Mahjouby, Mohamed Taj Bennani, Mohamed Lamrini, Badre Bossoufi, Thamer A. H. Alghamdi, Mohamed El Far

IEEE Access · 2024

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Machine learning and deep learning models for stock price prediction, case study: Google Company

Xiaowei Wang

Applied and Computational Engineering · 2024

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Predicting Stock Prices Using LSTM

Citing Works

Forecasting Stock Indices: Stochastic and Artificial Neural Network Models

Forecasting the Stock Market Index with Dynamic ARIMA Model and LSTM Model

Harnessding the Power of Machine Learning to Superchange CAPM Forecasts

HyBiLSTM: Multivariate Bitcoin Price Forecasting Using Hybrid Time-Series Models With Bidirectional LSTM

Hybrid Deep Learning Model Integrating Attention Mechanism for the Accurate Prediction and Forecasting of the Cryptocurrency Market

Improving Long Short-Term Memory (LSTM)-Based Stock Market Price Predictions in the Machine Learning Era

Long short-term memory algorithm for personalized tacrolimus dosing: A simple and effective time series forecasting approach post-lung transplantation

Long Short-Term Memory Networks for Predicting LQ45 Index Trends in Infrastructure Stocks*

Machine Learning Algorithms for Forecasting and Categorizing Euro-to-Dollar Exchange Rates

Machine learning and deep learning models for stock price prediction, case study: Google Company

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