Prediction of cryptocurrency price index using artificial neural networks: a survey of the literature

SE Charandabi, K Kamyar - European Journal of Business and …, 2021 - ejbmr.org
This paper initially presents a brief overview of the cryptocurrency and its history. We discuss
the novel nature of literature attempting to create hybrid artificial neural network models to …

Cryptocurrencies and artificial intelligence: Challenges and opportunities

F Sabry, W Labda, A Erbad, Q Malluhi - IEEE Access, 2020 - ieeexplore.ieee.org
Decentralized cryptocurrencies have gained a lot of attention over the last decade. Bitcoin
was introduced as the first cryptocurrency to allow direct online payments without relying on …

Deep learning-based cryptocurrency price prediction scheme with inter-dependent relations

S Tanwar, NP Patel, SN Patel, JR Patel… - IEEE …, 2021 - ieeexplore.ieee.org
Blockchain technology is becoming increasingly popular because of its applications in
various fields. It gives an edge over the traditional centralized methods as it provides …

Past, present, and future of the application of machine learning in cryptocurrency research

YS Ren, CQ Ma, XL Kong, K Baltas… - Research in International …, 2022 - Elsevier
Cryptocurrency has captured the interest of financial scholars and become a major research
topic in blockchain. In cryptocurrency research, the use of machine learning algorithms is …

MLP-based Learnable Window Size for Bitcoin price prediction

S Rajabi, P Roozkhosh, NM Farimani - Applied Soft Computing, 2022 - Elsevier
Over the past few years, Bitcoin price prediction has been changed to a big challenge for
investors on cryptocurrencies. In this regard, Neural Networks as a strong structure for …

Knowledge discovery in cryptocurrency transactions: A survey

XF Liu, XJ Jiang, SH Liu, CK Tse - Ieee access, 2021 - ieeexplore.ieee.org
Cryptocurrencies gain trust in users by publicly disclosing the full creation and transaction
history. In return, the transaction history faithfully records the whole spectrum of …

A taxonomy of fake news classification techniques: Survey and implementation aspects

D Rohera, H Shethna, K Patel, U Thakker… - IEEE …, 2022 - ieeexplore.ieee.org
In the present era, social media platforms such as Facebook, WhatsApp, Twitter, and
Telegram are significant sources of information distribution, and people believe it without …

[HTML][HTML] A stacking ensemble deep learning model for bitcoin price prediction using Twitter comments on bitcoin

Z Ye, Y Wu, H Chen, Y Pan, Q Jiang - Mathematics, 2022 - mdpi.com
Cryptocurrencies can be considered as mathematical money. As the most famous
cryptocurrency, the Bitcoin price forecasting model is one of the popular mathematical …

[HTML][HTML] Multivariate cryptocurrency prediction: comparative analysis of three recurrent neural networks approaches

S Hansun, A Wicaksana, AQM Khaliq - Journal of Big Data, 2022 - Springer
As a new type of currency introduced in the new millennium, cryptocurrency has established
its ecosystems and attracts many people to use and invest in it. However, cryptocurrencies …

[HTML][HTML] Cryptocurrency volatility forecasting: What can we learn from the first wave of the COVID-19 outbreak?

Z Ftiti, W Louhichi, H Ben Ameur - Annals of Operations Research, 2023 - Springer
This study aims to examine the issue of cryptocurrency volatility modelling and forecasting
based on high-frequency data. More specifically, this study assesses whether crisis periods …