[HTML][HTML] Review of ML and AutoML solutions to forecast time-series data

A Alsharef, K Aggarwal, Sonia, M Kumar… - … Methods in Engineering, 2022 - Springer
Time-series forecasting is a significant discipline of data modeling where past observations
of the same variable are analyzed to predict the future values of the time series. Its …

[HTML][HTML] Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?

SA Basher, P Sadorsky - Machine Learning with Applications, 2022 - Elsevier
Bitcoin has grown in popularity and has now attracted the attention of individual and
institutional investors. Accurate Bitcoin price direction forecasts are important for determining …

Bitcoin USD Closing Price (BTC-USD) Comparison Using Simple Moving Average And Radial Basis Function Neural Network Methods

MAS Yudono, ADWM Sidik… - FIDELITY: Jurnal …, 2022 - fidelity.nusaputra.ac.id
Bitcoin is a decentralized electronic money that is not controlled nor insured by a central
authority. Because it is still a young system, the price of Bitcoin is extremely unpredictable …

[HTML][HTML] Meta-heuristic optimization of LSTM-based deep network for boosting the prediction of monkeypox cases

MM Eid, ESM El-Kenawy, N Khodadadi, S Mirjalili… - Mathematics, 2022 - mdpi.com
Recent technologies such as artificial intelligence, machine learning, and big data are
essential for supporting healthcare monitoring systems, particularly for monitoring …

[HTML][HTML] Artificial intelligence techniques in financial trading: A systematic literature review

F Dakalbab, MA Talib, Q Nassir, T Ishak - Journal of King Saud University …, 2024 - Elsevier
Artificial Intelligence (AI) approaches have been increasingly used in financial markets as
technology advances. In this research paper, we conduct a Systematic Literature Review …

Forecasting Bitcoin prices using artificial intelligence: Combination of ML, SARIMA, and Facebook Prophet models

J Cheng, S Tiwari, D Khaled, M Mahendru… - … Forecasting and Social …, 2024 - Elsevier
In recent years, investors, corporations, and enterprises have shown great interest in the
Bitcoin network; thus, promoting its products and services is crucial. This study utilizes an …

[HTML][HTML] On forecasting cryptocurrency prices: A comparison of machine learning, deep learning, and ensembles

K Murray, A Rossi, D Carraro, A Visentin - Forecasting, 2023 - mdpi.com
Traders and investors are interested in accurately predicting cryptocurrency prices to
increase returns and minimize risk. However, due to their uncertainty, volatility, and …

[HTML][HTML] Time series data modeling using advanced machine learning and AutoML

A Alsharef, K Kumar, C Iwendi - Sustainability, 2022 - mdpi.com
A prominent area of data analytics is “timeseries modeling” where it is possible to forecast
future values for the same variable using previous data. Numerous usage examples …

[HTML][HTML] Integrated behavioural analysis of FRP-confined circular columns using FEM and machine learning

L Ali, HF Isleem, A Bahrami, I Jha, G Zou… - Composites Part C …, 2024 - Elsevier
This study investigates the structural behaviour of double-skin columns, introducing novel
double-skin double filled tubular (DSDFT) columns, which utilise double steel tubes and …

Functions of artificial intelligence, income investment instrument, and crypto money in era of the fourth revolution

C Sriliasta, DSS Wuisan… - … Transactions on Artificial …, 2022 - journal.pandawan.id
This research examines those related to Artificial Intelligence, stock robotics, and revenue
intruments portfolio diversity in the context of the Fourth Industrial Revolution era, artificial …