Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis

M Ayitey Junior, P Appiahene, O Appiah, CN Bombie - Journal of Big Data, 2023 - Springer
Background When you make a forex transaction, you sell one currency and buy another. If
the currency you buy increases against the currency you sell, you profit, and you do this …

Exchange rate prediction using ANN and deep learning methodologies: A systematic review

MM Panda, SN Panda… - 2020 Indo–Taiwan 2nd …, 2020 - ieeexplore.ieee.org
Advance study about exchange rate prediction is reviewed in this paper. Different proposed
new methods forforecast exchange rate prediction, from 2000 to 2019 are taken into …

Intelligent prediction of maximum ground settlement induced by EPB shield tunneling using automated machine learning techniques

SM Hussaine, L Mu - Mathematics, 2022 - mdpi.com
Predicting the maximum ground subsidence (Smax) in the construction of soil pressure
balanced shield tunnel, particularly on soft foundation soils, is essential for safe operation …

Quantification of model uncertainty in sub-daily extreme precipitation projections

A Majhi, CT Dhanya, S Chakma - Global and Planetary Change, 2022 - Elsevier
Sub-daily precipitation is projected to intensify more rapidly with global warming, that in turn
may lead to frequent disasters such as flash floods, landslides, etc. However, the …

[PDF][PDF] EUR/USD Exchange Rate Prediction Using Machine Learning

MSA Sarkar, UAME Ali - Int. J. Math. Sci. Comput, 2022 - researchgate.net
Nowadays artificial intelligence is used in almost every sector of our day-to-day life. AI is
used in preventative maintenance, quality control, demand forecasting, rapid prototyping …

COVID-19 pandemic in India: forecasting using machine learning techniques

HS Hota, R Handa, AK Shrivas - Data Science for COVID-19, 2021 - Elsevier
Forecasting about the Novel coronavirus disease 2019 (COVID-19) pandemic involves high
uncertainty and may be affected by measures taken by the government to fight the disease …

[PDF][PDF] A robust predictive model for stock market index prediction using data mining technique

AK Shrivas, SK Sharma - Int. Res. J. Eng. Technol., 2018 - academia.edu
Prediction of stock market index is very challenging task for investors to invest the currency.
The main objective of investors are invest the currency and make profit. This research work …

Foreign exchange forecasting & modeling–A review of recent research

RA Rashid, MZ Maarof - AIP Conference Proceedings, 2023 - pubs.aip.org
This paper is a review of studies that have been published related to the forecasting and
modeling of foreign exchange (forex) price movements or exchange rate since 2000. The …

[PDF][PDF] Predicting exchange rate by using time series multilayer perceptron

F Mansour, MC Yüksel, MF Akay - … Mediterranean Science and …, 2019 - researchgate.net
Exchange rate among different currencies in a certain time period is one of the fundamentals
in the economics of a country. Being able to predict exchange rate flow accurately can be …

Forecast of changes in exchange rate between Thai Baht and US dollar using data mining technique

S Tepdang, R Ponprasert - Creative Science, 2020 - ph01.tci-thaijo.org
Floating exchange rate system and several factors made it hard to forecast changes in
exchange rate on a daily basis. However, taking several factors into account can predict …