Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis …

S Mohan, AK Solanki, HK Taluja, A Singh - Computers in Biology and …, 2022 - Elsevier
Abstract Background Since January 2020, India has faced two waves of COVID-19;
preparation for the upcoming waves is the primary challenge for public health sectors and …

GRU neural network based on CEEMDAN–wavelet for stock price prediction

C Qi, J Ren, J Su - Applied Sciences, 2023 - mdpi.com
Stock indices are considered to be an important indicator of financial market volatility in
various countries. Therefore, the stock market forecast is one of the challenging issues to …

Covid-19 forecast using Holt-Winters exponential smoothing

I Djakaria, SE Saleh - Journal of physics: conference series, 2021 - iopscience.iop.org
Covid-19 has spread throughout the world, including in Indonesia and it is known that the
virus is reported to be highly contagious. Indonesia is the fourth-largest population for Covid …

[HTML][HTML] Tailoring time series models for forecasting coronavirus spread: case studies of 187 countries

L Ismail, H Materwala, T Znati, S Turaev… - Computational and …, 2020 - Elsevier
When will the coronavirus end? Are the current precautionary measures effective? To
answer these questions it is important to forecast regularly and accurately the spread of …

Forecasting Currency in Circulation in Nigeria Using Holt-Winters Exponential Smoothing Method

SB Atoyebi, MF Olayiwola… - … Asian Journal of …, 2023 - archive.submissionwrite.com
Nigeria is a country located in West Africa. It is the most populous country in Africa, with a
population of about 211 million. Nigeria is a federal republic with three tiers of government …

Deep Learning for COVID-19 prediction

S Bahri, M Kdayem, N Zoghlami - 2020 4th International …, 2020 - ieeexplore.ieee.org
From January 30, 2020, COVID-19 disease was announced by the World Health
Organization (WHO) as a Public Health Emergency of International Concern (PHEIC). For …

Enhancing Water Management: A Comparative Analysis of Time Series Prediction Models for Distributed Water Flow in Supply Networks

C Pires, MV Martins - Water, 2024 - mdpi.com
Water scarcity poses a significant challenge to social integration and economic
development, necessitating efficient water management strategies. This study compares …

Comparative Performance Analysis of ARIMA, Prophet and Holt-Winters Forecasting Methods on European COVID-19 Data

NŞ Ersöz, P Güner, A Akbaş… - International Journal of …, 2022 - dergipark.org.tr
COVID-19 is the most common infectious disease of the last few years and has caused an
outbreak all around the world. The mortality rate, which was earlier in the hundreds …

Time series forecasting using holt-winters exponential smoothing: application to abaca fiber data

M Pleños - Zeszyty Naukowe SGGW w Warszawie-Problemy …, 2022 - prs.sggw.edu.pl
This study utilized the data on abaca fiber production and used Holt-Winters model to
forecast the abaca fiber production since the studied variable is characterized by a fairly …

On comparing cross-validated forecasting models with a novel fuzzy-TOPSIS metric: A COVID-19 case study

DGB de Souza, EA dos Santos, FT Alves Junior… - Sustainability, 2021 - mdpi.com
Time series cross-validation is a technique to select forecasting models. Despite the
sophistication of cross-validation over single test/training splits, traditional and independent …