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- W4309194893 abstract "Ethereum, a blockchain platform inspired by Bitcoin, was introduced in 2015. It is a worldwide computing platform fueled by Ether (ETH), its native currency. As the demand for processing power on the Ethereum blockchain rises, so will the price of ETH. Several studies are working to project its price based on previous price inflations of the cryptocurrency. This topic has become a prominent research topic all around the world. In this work, the price of ETH is predicted using a hybrid model consisting of Long short-term memory (LSTM) and Vector Auto Regression (VAR). The hybrid model gave the least values for the evaluation metrics compared to the standalone models." @default.
- W4309194893 created "2022-11-24" @default.
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- W4309194893 date "2022-11-16" @default.
- W4309194893 modified "2023-10-14" @default.
- W4309194893 title "Price Prediction of Ethereum Using Time Series and Deep Learning Techniques" @default.
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- W4309194893 doi "https://doi.org/10.1007/978-981-19-4182-5_32" @default.
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