An on-chain analysis-based approach to predict ethereum prices

N Jagannath, T Barbulescu, KM Sallam, I Elgendi… - IEEE …, 2021 - ieeexplore.ieee.org
The Ethereum blockchain generates a significant amount of data due to its intrinsic
transparency and decentralized nature. It is also referred to as on-chain data and is openly …

DLCP2F: a DL-based cryptocurrency price prediction framework

A Aljadani - Discover Artificial Intelligence, 2022 - Springer
Cryptocurrencies are distributed digital currencies that have emerged as a consequence of
financial technology advancement. In 2017, cryptocurrencies have shown a huge rise in …

Forecasting bitcoin trends using algorithmic learning systems

G Cohen - Entropy, 2020 - mdpi.com
This research has examined the ability of two forecasting methods to forecast Bitcoin's price
trends. The research is based on Bitcoin—USA dollar prices from the beginning of 2012 until …

Improved and optimized recurrent neural network based on PSO and its application in stock price prediction

F Yang, J Chen, Y Liu - Soft computing, 2023 - Springer
In order to improve the stock price prediction effect, based on the improved PSO algorithm,
this paper constructs a stock price prediction model through neural network. Based on the …

Is it possible to forecast the price of bitcoin?

J Chevallier, D Guégan, S Goutte - Forecasting, 2021 - mdpi.com
This paper focuses on forecasting the price of Bitcoin, motivated by its market growth and the
recent interest of market participants and academics. We deploy six machine learning …

Dynamic analysis of bitcoin price under market news and sentiments and government support policies

P Roozkhosh, A Pooya - Computational Economics, 2023 - 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 …

RanKer: An AI-Based Employee-Performance Classification Scheme to Rank and Identify Low Performers

K Patel, K Sheth, D Mehta, S Tanwar, BC Florea… - Mathematics, 2022 - mdpi.com
An organization's success depends on its employees, and an employee's performance
decides whether the organization is successful. Employee performance enhances the …

Modeling and forecasting cryptocurrency closing prices with rao algorithm-based artificial neural networks: A machine learning approach

SK Nayak, SC Nayak, S Das - FinTech, 2021 - mdpi.com
Artificial neural networks (ANNs) are suitable procedures for predicting financial time series
(FTS). Cryptocurrencies are good investment assets; therefore, the effective prediction of …

A creative approach to understanding the hidden information within the business data using Deep Learning

Y Luo, C Yao, Y Mo, B Xie, G Yang, H Gui - Information Processing & …, 2021 - Elsevier
Crucial business data is an essential asset for each business establishment. Data security is
vital when sensitive data are transmitted over the Internet in a business environment …

Blockchain and AI-based secure onion routing framework for data dissemination in IoT environment underlying 6g networks

R Gupta, NK Jadav, A Nair, S Tanwar… - … on Smart Cities …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) has massively adopted the market due to the current era demanding
fully intelligent and autonomous services. The IoT industry is flourishing in terms of Internet …