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 …
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 …
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 …
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 …
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
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 …
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 …
population of about 211 million. Nigeria is a federal republic with three tiers of government …
Deep Learning for COVID-19 prediction
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 …
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 …
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
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 …
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 …
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 …
sophistication of cross-validation over single test/training splits, traditional and independent …