Cryptocurrency trading: a comprehensive survey
In recent years, the tendency of the number of financial institutions to include
cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital …
cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital …
Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey
Cryptocurrencies are decentralized electronic counterparts of government‐issued money.
The first and best‐known cryptocurrency example is bitcoin. Cryptocurrencies are used to …
The first and best‐known cryptocurrency example is bitcoin. Cryptocurrencies are used to …
Oil well production prediction based on CNN-LSTM model with self-attention mechanism
S Pan, B Yang, S Wang, Z Guo, L Wang, J Liu, S Wu - Energy, 2023 - Elsevier
To overcome the shortcomings in current study of oil well production prediction, we propose
a combined model (CNN-LSTM-SA) with the convolutional neural network (CNN), the long …
a combined model (CNN-LSTM-SA) with the convolutional neural network (CNN), the long …
[HTML][HTML] Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction
The emergence of cryptocurrencies has drawn significant investment capital in recent years
with an exponential increase in market capitalization and trade volume. However, the …
with an exponential increase in market capitalization and trade volume. However, the …
Bitcoin price change and trend prediction through twitter sentiment and data volume
Twitter sentiment has been shown to be useful in predicting whether Bitcoin's price will
increase or decrease. Yet the state-of-the-art is limited to predicting the price direction and …
increase or decrease. Yet the state-of-the-art is limited to predicting the price direction and …
LSTM-ReGAT: A network-centric approach for cryptocurrency price trend prediction
C Zhong, W Du, W Xu, Q Huang, Y Zhao… - Decision Support …, 2023 - Elsevier
Predicting price trends of cryptocurrencies is a challenging task due to the highly speculative
cryptocurrency market. Prior studies mainly investigate predictors such as historical trading …
cryptocurrency market. Prior studies mainly investigate predictors such as historical trading …
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators
S Alonso-Monsalve, AL Suárez-Cetrulo… - Expert Systems with …, 2020 - Elsevier
This study explores the suitability of neural networks with a convolutional component as an
alternative to traditional multilayer perceptrons in the domain of trend classification of …
alternative to traditional multilayer perceptrons in the domain of trend classification of …
A new hybrid based on long short-term memory network with spotted hyena optimization algorithm for multi-label text classification
H Khataei Maragheh, FS Gharehchopogh… - Mathematics, 2022 - mdpi.com
An essential work in natural language processing is the Multi-Label Text Classification
(MLTC). The purpose of the MLTC is to assign multiple labels to each document. Traditional …
(MLTC). The purpose of the MLTC is to assign multiple labels to each document. Traditional …
Forecasting the movements of Bitcoin prices: an application of machine learning algorithms
Cryptocurrencies, such as Bitcoin, are one of the most controversial and complex
technological innovations in today's financial system. This study aims to forecast the …
technological innovations in today's financial system. This study aims to forecast the …
Machine learning algorithm for cryptocurrencies price prediction
Cryptocurrency has grown outstandingly in recent years. Additional events throughout the
planet have acknowledged the significance of embracing numeral benefits virtually with …
planet have acknowledged the significance of embracing numeral benefits virtually with …