Twitter attribute classification with q-learning on bitcoin price prediction

S Otabek, J Choi - IEEE Access, 2022 - ieeexplore.ieee.org
Bitcoin price prediction based on people's opinions on Twitter usually requires millions of
tweets, using different text mining techniques, and developing a machine learning model to …

Multi-source data driven cryptocurrency price movement prediction and portfolio optimization

Z Zhou, Z Song, H Xiao, T Ren - Expert Systems with Applications, 2023 - Elsevier
The existing cryptocurrency portfolio studies have relied heavily on historical asset returns
and ignored the importance of the prediction information of asset returns, which leads to …

Cryptocurrency price prediction using social media sentiment analysis

S Oikonomopoulos, K Tzafilkou… - … & Applications (IISA), 2022 - ieeexplore.ieee.org
In a paper that was anonymously published and signed by the pseudonym Satoshi
Nakamoto, Bitcoin was introduced to the world. Due to its enormous success, a great …

An intelligent approach for preserving the privacy and security of a smart home based on IoT using LogitBoost techniques

A Rahim, Y Zhong, T Ahmad, U Islam - Journal of Hunan University …, 2022 - jonuns.com
Abstract Development and use of IoT devices have grown significantly in recent years. Many
departments such as smart homes, smart healthcare, smart sports analysis, and different …

Twitter Mining based Forecasting of cryptocurrency using sentimental analysis of Tweets

U Maqsood, FY Khuhawar, S Talpur… - … on Wireless and …, 2022 - ieeexplore.ieee.org
The decentralization of cryptocurrency has decreased the level of central control, which has
impacted international trade and ties. There is also an urgent need for a credible way of …

Modelling and Forecasting the Trend in Cryptocurrency Prices

N Abdul Rashid, MT Ismail - Journal of Information and …, 2023 - repo.uum.edu.my
The prediction of cryptocurrency prices is a hot topic among academics. Nevertheless,
predicting the cryptocurrency price accurately can be challenging in the real world …

Accelerate demand forecasting by hybridizing CatBoost with the dingo optimization algorithm to support supply chain conceptual framework precisely

AM Abed - Frontiers in Sustainability, 2024 - frontiersin.org
Supply chains (SCs) serve many sectors that are, in turn, affected by e-commerce which rely
on the make-to-order (MTO) system to avoid a risk in following the make-to-stoke (MTS) …

A nonlinear autoregressive exogenous (NARX) neural network model for the prediction of timestamp influence on bitcoin value

N Aljojo, A Alshutayri, E Aldhahri, S Almandeel… - IEEE …, 2021 - ieeexplore.ieee.org
The transaction and market of bitcoin is volatile, meaning it's uncertain because it changes
frequently. There have been a number of research studies that have presented bitcoin price …

Smart Home IoT Privacy and Security Preservation via Machine Learning Techniques.

M Almutairi - Computers, Materials & Continua, 2023 - search.ebscohost.com
The development and use of Internet of Things (IoT) devices have grown significantly in
recent years. Advanced IoT device characteristics are mainly to blame for the wide range of …

Social sentiment analysis for prediction of cryptocurrency prices using neuro-fuzzy techniques

ŞÖ Birim, FE Sönmez - International conference on intelligent and fuzzy …, 2022 - Springer
This study aims to provide an intelligent system that uses neuro-fuzzy techniques to predict
daily prices of selected cryptocurrencies using a combination of twitter sentiment and google …