Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month …

S Singh, KS Parmar, J Kumar, SJS Makkhan - Chaos, solitons & fractals, 2020 - Elsevier
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 …

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

S Singh, KS Parmar, SJS Makkhan, J Kaur… - Chaos, Solitons & …, 2020 - Elsevier
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 …

Long-term aerosol climatology over Indo-Gangetic Plain: Trend, prediction and potential source fields

M Kumar, KS Parmar, DB Kumar, A Mhawish… - Atmospheric …, 2018 - Elsevier
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 …

Two decades of aerosol observations by AATSR, MISR, MODIS and MERRA-2 over India and Indian Ocean

J Kuttippurath, S Raj - Remote Sensing of Environment, 2021 - Elsevier
Atmospheric aerosols play key roles in radiation budget, ecosystem dynamics, air quality
and cloud microphysics of a region and thus, they greatly influence the global climate …

Modeling of air pollutants using least square support vector regression, multivariate adaptive regression spline, and M5 model tree models

O Kisi, KS Parmar, K Soni, V Demir - Air Quality, Atmosphere & Health, 2017 - Springer
This study investigates the applicability of three different soft computing methods, least
square support vector regression (LSSVR), multivariate adaptive regression splines …

Soft computing model coupled with statistical models to estimate future of stock market

S Singh, KS Parmar, J Kumar - Neural Computing and Applications, 2021 - Springer
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 …

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 …

Long-term changes in aerosol loading over the 'BIHAR'State of India using nineteen years (2001–2019) of high-resolution satellite data (1× 1 km2)

M Nair, S Dey, H Bherwani, AK Ghosh - Atmospheric Pollution Research, 2022 - Elsevier
Abstract Indo-Gangetic Plain (IGP) in the Indian sub-continent faces massive aerosol
loading, for which it is regarded as a global air pollution hotspot. This study examined the …

Development of multi-forecasting model using Monte Carlo simulation coupled with wavelet denoising-ARIMA model

S Singh, KS Parmar, J Kumar - Mathematics and Computers in Simulation, 2025 - Elsevier
The analysis and prediction of stock market prices are crucial areas of research due to their
complex, chaotic, and nonlinear features. As a result, making significant gains in stock …

Trend and time series analysis by ARIMA model to predict the emissions and performance characteristics of biogas fueled compression ignition engine

SK Mahla, KS Parmar, J Singh, A Dhir… - Energy Sources, Part …, 2023 - Taylor & Francis
Biomass-derived biogas is a very promising alternative energy source because of its
renewable and clean combustion characteristics compared to fossil petroleum diesel fuel …