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Time Time Series Forecasting of Stock Price for Maritime Shipping Company in COVID-19 Period Using Multi-Step Long Short-Term Memory (LSTM) Networks Cover

Time Time Series Forecasting of Stock Price for Maritime Shipping Company in COVID-19 Period Using Multi-Step Long Short-Term Memory (LSTM) Networks

Proceedings of the International Conference on Business Excellence
Volume 17 (2023): Issue 1 (July 2023)
By:
Open Access
|Jul 2023

References

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DOI: https://doi.org/10.2478/picbe-2023-0154 | Journal eISSN: 2558-9652
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Language: English
Page range: 1728 - 1747
Published on: Jul 14, 2023
Published by: The Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
COVID-19,
Maritime transport,
Long short-term memory,
Predicting,
Stock price,
Shipping company
Related subjects:
Business and economics,
Political economics,
Political economics, other,
Business management,
Business management, other,
Industrial chemistry,
Energy harvesting and conversion

© 2023 Ahmad Ghareeb, published by The Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution 4.0 License.

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