Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month …
Everywhere around the globe, the hot topic of discussion today is the ongoing and fast-
spreading coronavirus disease (COVID-19), which is caused by the severe acute respiratory …
spreading coronavirus disease (COVID-19), which is caused by the severe acute respiratory …
Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution
This study investigates the accuracy of least square support vector machine (LSSVM),
multivariate adaptive regression splines (MARS) and M5 model tree (M5Tree) in modeling …
multivariate adaptive regression splines (MARS) and M5 model tree (M5Tree) in modeling …
Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries
Discussions about the recently identified deadly coronavirus disease (COVID-19) which
originated in Wuhan, China in December 2019 are common around the globe now. This is …
originated in Wuhan, China in December 2019 are common around the globe now. This is …
Long-term aerosol climatology over Indo-Gangetic Plain: Trend, prediction and potential source fields
Long-term aerosol climatology is derived using Terra MODIS (Collection 6) enhanced Deep
Blue (DB) AOD retrieval algorithm to investigate decadal trend (2006–2015) in columnar …
Blue (DB) AOD retrieval algorithm to investigate decadal trend (2006–2015) in columnar …
ARIMA analysis of the effect of land surface coverage on PM10 concentrations in a high-altitude megacity
This paper uses ARIMA models for daily temporal analysis of the effect of land surface
coverage (LSC) on PM 10 concentrations in a high-altitude megacity. Bogota, the capital of …
coverage (LSC) on PM 10 concentrations in a high-altitude megacity. Bogota, the capital of …
Application Study of Comprehensive Forecasting Model Based on Entropy Weighting Method on Trend of PM2.5 Concentration in Guangzhou, China
D Liu, L Li - International journal of environmental research and …, 2015 - mdpi.com
For the issue of haze-fog, PM2. 5 is the main influence factor of haze-fog pollution in China.
The trend of PM2. 5 concentration was analyzed from a qualitative point of view based on …
The trend of PM2. 5 concentration was analyzed from a qualitative point of view based on …
Time series analysis of aerosol optical depth over New Delhi using Box–Jenkins ARIMA modeling approach
The present study focuses on the application of stochastic modeling technique in analyzing
the future trends of aerosol optical properties. For this, the Box–Jenkins ARIMA …
the future trends of aerosol optical properties. For this, the Box–Jenkins ARIMA …
Modeling of air pollutants using least square support vector regression, multivariate adaptive regression spline, and M5 model tree models
This study investigates the applicability of three different soft computing methods, least
square support vector regression (LSSVR), multivariate adaptive regression splines …
square support vector regression (LSSVR), multivariate adaptive regression splines …
Soft computing model coupled with statistical models to estimate future of stock market
Almost every organization around the globe is working with uncertainty due to inevitable
changes and growth in every sphere of life. These changes affect directly or indirectly the …
changes and growth in every sphere of life. These changes affect directly or indirectly the …
Modeling and spatial characterization of aerosols at Middle East AERONET stations
CM Anoruo, SNH Bukhari, OK Nwofor - Theoretical and Applied …, 2023 - Springer
In this paper, we employed an autoregressive integrated moving average (ARIMA) model to
simulate aerosol optical depth time series from the ground-based AErosol RObotic NETwork …
simulate aerosol optical depth time series from the ground-based AErosol RObotic NETwork …