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 …

Jaya algorithm and applications: A comprehensive review

EH Houssein, AG Gad, YM Wazery - Metaheuristics and Optimization in …, 2021 - Springer
All the population-based optimization algorithms are probabilistic algorithms and require
only a few control parameters including number of candidates, number of iterations, elite …

[HTML][HTML] Foreign exchange currency rate prediction using a GRU-LSTM hybrid network

MS Islam, E Hossain - Soft Computing Letters, 2021 - Elsevier
The foreign exchange (FOREX) market is one of the biggest financial markets in the world.
More than 5.1 trillion dollars are traded each day in the FOREX market by banks, retail …

An efficient equilibrium optimizer with support vector regression for stock market prediction

EH Houssein, M Dirar, L Abualigah… - Neural computing and …, 2022 - Springer
A hybridized method that relies on using the support vector regression (SVR) method with
equilibrium optimizer (EO) is proposed to foresee the closing prices of Egyptian Exchange …

Jaya: an advanced optimization algorithm and its engineering applications

RV Rao - 2019 - Springer
Keeping in view of the limitations of the traditional optimization techniques, the researchers
have developed a number of advanced optimization algorithms popularly known as …

Grey Wolf optimization-Elman neural network model for stock price prediction

SK Chandar - Soft Computing, 2021 - search.proquest.com
Over the past two decades, assessing future price of stock market has been a very active
area of research in financial world. Stock price always fluctuates due to many variables …

[HTML][HTML] Stock market prediction using Firefly algorithm with evolutionary framework optimized feature reduction for OSELM method

SR Das, D Mishra, M Rout - Expert Systems with Applications: X, 2019 - Elsevier
Forecasting future trends of the stock market using the historical data is the exigent demand
in the field of academia as well as business. This work has explored the feature optimization …

A study of carbon peaking and carbon neutral pathways in China's power sector under a 1.5° C temperature control target

G Wu, D Niu - Environmental Science and Pollution Research, 2022 - Springer
The clean and low-carbon transition of China's power sector is of great importance to the
achievement of dual carbon targets and the control of global warming. This paper first …

A hybrid approach for text document clustering using Jaya optimization algorithm

K Thirumoorthy, K Muneeswaran - Expert Systems with Applications, 2021 - Elsevier
In this digital era, millions of Internet users are contributing vast amounts of data in the form
of unstructured text documents. Organizing this material is a tedious task. The clustering of …

A novel prediction model based on decomposition-integration and error correction for COVID-19 daily confirmed and death cases

H Yang, H Liu, G Li - Computers in Biology and Medicine, 2023 - Elsevier
Abstract Coronavirus disease (COVID-19) has infected billion people around the world and
affected the economy, but most countries are considering reopening, so the COVID-19 daily …