An intensive and comprehensive overview of JAYA algorithm, its versions and applications
In this review paper, JAYA algorithm, which is a recent population-based algorithm is
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …
Cryptocurrency forecasting with deep learning chaotic neural networks
We implement deep learning techniques to forecast the price of the three most widely traded
digital currencies ie, Bitcoin, Digital Cash and Ripple. To the best of our knowledge, this is …
digital currencies ie, Bitcoin, Digital Cash and Ripple. To the best of our knowledge, this is …
A review on recent advancements in forex currency prediction
In recent years, the foreign exchange (FOREX) market has attracted quite a lot of scrutiny
from researchers all over the world. Due to its vulnerable characteristics, different types of …
from researchers all over the world. Due to its vulnerable characteristics, different types of …
MLP-based Learnable Window Size for Bitcoin price prediction
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 …
investors on cryptocurrencies. In this regard, Neural Networks as a strong structure for …
[HTML][HTML] Foreign exchange currency rate prediction using a GRU-LSTM hybrid network
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 …
More than 5.1 trillion dollars are traded each day in the FOREX market by banks, retail …
Blockchain acceptance rate prediction in the resilient supply chain with hybrid system dynamics and machine learning approach
In today's era, the importance and implementation of blockchain networks have become
feasible as it improves the resilience of the supply chain network at all levels by clarifying …
feasible as it improves the resilience of the supply chain network at all levels by clarifying …
Multi-population-based adaptive sine cosine algorithm with modified mutualism strategy for global optimization
AK Saha - Knowledge-Based Systems, 2022 - Elsevier
The sine cosine algorithm (SCA) is a population-based metaheuristic strategy that has been
demonstrated competitive performance and has received significant attention from scientists …
demonstrated competitive performance and has received significant attention from scientists …
Deep learning-based exchange rate prediction during the COVID-19 pandemic
This study proposes an ensemble deep learning approach that integrates Bagging Ridge
(BR) regression with Bi-directional Long Short-Term Memory (Bi-LSTM) neural networks …
(BR) regression with Bi-directional Long Short-Term Memory (Bi-LSTM) neural networks …
Predicting stock price trend using MACD optimized by historical volatility
J Wang, J Kim - Mathematical Problems in Engineering, 2018 - Wiley Online Library
With the rapid development of the financial market, many professional traders use technical
indicators to analyze the stock market. As one of these technical indicators, moving average …
indicators to analyze the stock market. As one of these technical indicators, moving average …
Dynamic analysis of bitcoin price under market news and sentiments and government support policies
P Roozkhosh, A Pooya - Computational Economics, 2024 - Springer
Numerous variables are involved in determining the market capitalization and price of
cryptocurrencies. So, It is impossible to ignore the feedback of each variable on the other …
cryptocurrencies. So, It is impossible to ignore the feedback of each variable on the other …