AI-enhanced blockchain technology: A review of advancements and opportunities

D Ressi, R Romanello, C Piazza, S Rossi - Journal of Network and …, 2024 - Elsevier
Blockchain technology has rapidly gained popularity, permeating various fields due to its
inherent features of security, transparency, and decentralization. Blockchain-based …

Forecasting bitcoin prices with the ANFIS model

BK Karabıyık, ZC Ergün - Dicle Üniversitesi İktisadi ve İdari Bilimler …, 2021 - dergipark.org.tr
Recently, Bitcoin has gained great importance in the cryptocurrency market with the highest
market capitalization. Investors and researchers have attempted to find out the drivers of …

[HTML][HTML] A survey on uncertainty quantification in deep learning for financial time series prediction

T Blasco, JS Sánchez, V García - Neurocomputing, 2024 - Elsevier
Investors make decisions about buying and selling a financial asset based on available
information. The traditional approach in Deep Learning when trying to predict the behavior …

Stochastic neural networks-based algorithmic trading for the cryptocurrency market

V Kalariya, P Parmar, P Jay, S Tanwar, MS Raboaca… - Mathematics, 2022 - mdpi.com
Throughout the history of modern finance, very few financial instruments have been as
strikingly volatile as cryptocurrencies. The long-term prospects of cryptocurrencies remain …

An Improved Machine Learning-Driven Framework for Cryptocurrencies Price Prediction With Sentimental Cautioning

M Zubair, J Ali, M Alhussein, S Hassan… - IEEE …, 2024 - ieeexplore.ieee.org
Cryptocurrencies, recognized by their extreme volatility due to dependency on multiple
direct and indirect factors, offer a significant challenge regarding precise price forecasting …

Enhancing Zero-Shot Crypto Sentiment with Fine-tuned Language Model and Prompt Engineering

RSM Wahidur, I Tashdeed, M Kaur, HN Lee - IEEE Access, 2024 - ieeexplore.ieee.org
Blockchain technology has revolutionized the financial landscape, witnessing widespread
adoption of cryptocurrencies due to their decentralized and transparent nature. As …

Data-Driven Volatile Cryptocurrency Price Forecasting via Variational Mode Decomposition and BiLSTM

R Ramakrishnan, A Vadakedath, A Bhaskar… - … : Proceedings of ICICC …, 2022 - Springer
Cryptocurrency is based on blockchain technology which is ideally decentralised, referring
to no superior authority overlooking it. The community is maintained by numerous user …

Analysis and prediction of bitcoin price using bernoulli rbm-based deep belief networks

S Sridhar, S Sanagavarapu - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Digital currency aims to decentralize online transactions with high efficiency and increased
security. These operations are carried out using blockchain based systems to eliminate the …

Arima for short-term and lstm for long-term in daily bitcoin price prediction

TK Toai, R Senkerik, I Zelinka, A Ulrich… - … Conference on Artificial …, 2022 - Springer
The goal of this paper is the insight into the forecasting of Bitcoin price using machine
learning models like AutoRegressive Integrated Moving Average (ARIMA), Support vector …

Cryptocurrency volatility index: an efficient way to predict the future CVI

APN Nguyen, M Crane, M Bezbradica - Irish Conference on Artificial …, 2022 - Springer
Abstract The Cryptocurrency Volatility Index (CVI index) has been introduced to estimate the
30-day future volatility of the cryptocurrency market. In this article, we introduce a new Deep …