Impact of e-banking service quality on e-loyalty in pandemic times through interplay of e-satisfaction
Purpose This study aims to empirically explore e-banking service quality and its impact on
the e-banking loyalty through a mediating impact of e-banking satisfaction. The account …
the e-banking loyalty through a mediating impact of e-banking satisfaction. The account …
[PDF][PDF] Oil and stock markets volatility during pandemic times: A review of G7 countries
This review aims to produce insight into the volatilities trio (COVID-19 crisis, stock markets,
and crude oil volatility). The understanding of risk trends in stock markets of G7 economies …
and crude oil volatility). The understanding of risk trends in stock markets of G7 economies …
Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy
G Perone - The European Journal of Health Economics, 2021 - Springer
Abstract The coronavirus disease (COVID-19) is a severe, ongoing, novel pandemic that
emerged in Wuhan, China, in December 2019. As of January 21, 2021, the virus had …
emerged in Wuhan, China, in December 2019. As of January 21, 2021, the virus had …
Arima models in electrical load forecasting and their robustness to noise
The paper addresses the problem of insufficient knowledge on the impact of noise on the
auto-regressive integrated moving average (ARIMA) model identification. The work offers a …
auto-regressive integrated moving average (ARIMA) model identification. The work offers a …
Fake news during the pandemic times: A Systematic Literature Review using PRISMA
The purpose of this systematic literature review is to review the major studies about
misinformation and fake news during COVID-19 on social media. A total of 144 articles …
misinformation and fake news during COVID-19 on social media. A total of 144 articles …
A novel framework-based meta-analysis for in-depth characterization of microplastic pollution and associated ecological risks in Chinese Bays
Among aquatic ecosystems, bays are ubiquitously contaminated with microplastics (MPs,
size< 5 mm), but a comprehensive understanding of their pollution characterization in …
size< 5 mm), but a comprehensive understanding of their pollution characterization in …
An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM
Abstract The Coronavirus Disease 2019 (COVID-19) has had a profound impact on global
health and economy, making it crucial to build accurate and interpretable data-driven …
health and economy, making it crucial to build accurate and interpretable data-driven …
COVID-19 vakalarının makine öğrenmesi algoritmaları ile tahmini: Amerika Birleşik Devletleri örneği
Koronavirüs, 2019 yılının Aralık ayında ilk olarak Çin'in Wuhan kentinde ortaya çıkmış ve 11
Mart 2020'de Dünya Sağlık Örgütü tarafından pandemi olarak ilan edilmiştir. Vaka sayılarını …
Mart 2020'de Dünya Sağlık Örgütü tarafından pandemi olarak ilan edilmiştir. Vaka sayılarını …
Investigation of robustness of hybrid artificial neural network with artificial bee colony and firefly algorithm in predicting COVID-19 new cases: case study of Iran
MJ Shaibani, S Emamgholipour… - … Research and Risk …, 2022 - Springer
As an ongoing public health menace, the novel coronavirus pandemic has challenged the
world. With several mutations and a high transmission rate, the virus is able to infect …
world. With several mutations and a high transmission rate, the virus is able to infect …
Prediction of COVID-19 confirmed cases in Indo-Pak sub-continent
Introduction: The global COVID-19 pandemic originated from the Chinese city of Wuhan and
gradually reached every end of the world. It has adversely affected economies of developed …
gradually reached every end of the world. It has adversely affected economies of developed …