Forecasting of BTC volatility: comparative study between parametric and nonparametric models

R Khaldi, A El Afia, R Chiheb - Progress in Artificial Intelligence, 2019 - Springer
Bitcoin has rapidly gained much attention by media, investors and scholars, since it is widely
used for investment purposes as an alternative to regular currencies. The price of bitcoin is …

Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the …

TT da Silva, R Francisquini, MCV Nascimento - Expert Systems with …, 2021 - Elsevier
In 2020, Brazil was the leading country in COVID-19 cases in Latin America, and capital
cities were the most severely affected by the outbreak. Climates vary in Brazil due to the …

Performance prediction of pharmaceutical suppliers: comparative study between DEA-ANFIS-PSO and DEA-ANFIS-GA

R Khaldi, AE Afia, R Chiheb - International Journal of …, 2019 - inderscienceonline.com
The selection of a pharmaceutical supplier is a critical task within a hospital. Dealing with the
wrong supplier may plague the overall healthcare supply chain, especially patient's life …

Comparison of statistical and machine learning algorithms for forecasting daily bitcoin returns

B Aygun, EK Gunay - Avrupa Bilim ve Teknoloji Dergisi, 2021 - dergipark.org.tr
Increasing fluctuations in pricing and having great potential for profit in finance world,
utilization in advanced machine learning technologies to make robust prediction of highly …

Cryptocurrency and African fiat currencies: A peaceful coexistence?

SP Kumah - Economic Notes, 2024 - Wiley Online Library
This study examines the asymmetric behaviour of Bitcoin relative to six major African fiat
currencies (Egyptian Pound, Cedi, ZAR, Naira, Rupee and Dinar) for the period 10 August …

Can altcoins become viable alternatives to African fiat currencies?

SP Kumah, J Odei-Mensah - International Journal of Development …, 2022 - emerald.com
Purpose The paper aims to examine the asymmetric response of three major altcoins to
shocks in six African fiat currencies in a time-frequency space. Design/methodology …

Predicting bitcoin prices-ANN approach

N Gopal, KS Senthilkumar - International Journal of …, 2020 - inderscienceonline.com
Bitcoin, the first cryptocurrency is believed to be designed by Satoshi Nakamoto in 2009 as a
peer-to-peer structure whereby users can handle directly without requiring an intermediary …

Impact of neural network architectures on arabic sentiment analysis

H Chahidi, H Omara, M Lazaar… - … on Big Data and Internet of …, 2019 - dl.acm.org
Sentiment Analysis (SA), commonly known as opinion mining, during last couple of years, it
becomes the fastest growing research areas in computer science. Conventionally, it helps to …

A 4-level reference for self-adaptive processes based on SCOR and integrating Q-Learning

H Mezouar, A El Afia - Proceedings of the 4th International Conference …, 2019 - dl.acm.org
The supply chain operations reference (SCOR) is a model to improve, and communicate
supply chain flows within an organization and with its suppliers and customers. In this paper …

Impact of multistep forecasting strategies on recurrent neural networks performance for short and long horizons

R Khaldi, A El Afia, R Chiheb - … of the 4th International Conference on …, 2019 - dl.acm.org
Forecasting is one of the most important tasks in temporal data mining. Actually, most of
forecasting applications require performing multistep forecasts. Thus, what is the appropriate …