过去一年中添加的文章,按日期排序

Portfolio optimization in the stock market under disruptions: Real case studies of COVID-19 pandemic and currency risk

AH Kamali, SH Iranmanesh, F Goodarzian - … of Artificial Intelligence, 2024 - Elsevier
74 天前 - … (ARIMA), and Prophet, are compared from the point of view of … the deep learning
model for predicting and appraising time-… learning methods using the time series of daily closed …

Post COVID-19 Vaccination: Infection Rate Analysis Using Time Series Modeling

N Kadir, R Kaur, T Rodrigues… - … on Machine Intelligence …, 2024 - ieeexplore.ieee.org
150 天前 - prediction for the COVID19 pandemic for India using the ARIMA time series prediction
model… them from average and impacted by pneumonia using Deep Convolution Neural …

A New Auto-Regressive Multi-Variable Modified Auto-Encoder for Multivariate Time-Series Prediction: A Case Study with Application to COVID-19 Pandemics

EV de Oliveira, DP Aragão, LMG Gonçalves - International Journal of …, 2024 - mdpi.com
174 天前 - … percentage of COVID-19 cases from the top ten affected countries … uses the ARIMA
model and the Prophet time-series … on machine learning models, we can find works that use

Time series analysis and prediction of COVID-19 patients using discrete wavelet transform and auto-regressive integrated moving average model

SY Ilu, R Prasad - Multimedia Tools and Applications, 2024 - Springer
242 天前 - time series data, since ARIMA models require time seriesaffected by COVID-19.
They used ML to develop numerous … deep learning architectures to forecast COVID-19 time-…

Household Energy Burdens in Europe following the Russian Incursion into Ukraine

M Poblete Cazenave, S Pachauri - 2023 - pure.iiasa.ac.at
301 天前 - … Recent global events such as the COVID-19 pandemic and … We use a time series
autoregressive integrative moving … and then use machine learning to predict to what extent the …

Application of Machine Learning Models in Analyze Carbon Emissions With COVID-19 in Guangdong

X Wang, Z Li, H Liu, J Mu - Available at SSRN 4658722, 2023 - papers.ssrn.com
306 天前 - … This paper used the ARIMA model for initial prediction, and … outbreak of COVID-19
in 2019, it has seriously impacted … LSTM model is a popular model for predicting time series

A Hybrid Deep Learning Approach for Crude Oil Price Prediction

H Aldabagh, X Zheng, R Mukkamala - Journal of Risk and Financial …, 2023 - mdpi.com
308 天前 - … such as the COVID-19 pandemic and geopolitical … ARIMA models constitute a
family of statistical models that offer a framework for understanding and predicting time series data

Pronóstico de migración humana del Ecuador, utilizando modelos de series temporales

CA Andrade Guallpa - 2023 - dspace.ucacue.edu.ec
342 天前 - … on data mining and machine learning methodologies, … COVID-19 pandemic. The
article then delves into theoretical concepts related to time series, components of a time series (…

[图书][B] Optimal Transport Statistics for Economics and Related Topics

NN Thach, V Kreinovich, DT Ha, ND Trung - 2023 - books.google.com
344 天前 - … , we can only make predictions about probabilities of … entropy approach, and machine
learning. Applications range … economy such as bankruptcy, effect of COVID-19 pandemic, …