Autoregressive models in environmental forecasting time series: a theoretical and application review

J Kaur, KS Parmar, S Singh - Environmental Science and Pollution …, 2023 - Springer
Though globalization, industrialization, and urbanization have escalated the economic
growth of nations, these activities have played foul on the environment. Better understanding …

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 …

Forecasting of AQI (PM2.5) for the three most polluted cities in India during COVID-19 by hybrid Daubechies discrete wavelet decomposition and autoregressive (Db …

J Kaur, S Singh, KS Parmar - Environmental Science and Pollution …, 2023 - Springer
Air pollution has emerged as a significant environmental challenge at the global level, and
India is majorly affected by it. Numerous emission sources, such as automobiles, industries …

Development of a mathematical model to forecast black carbon concentration using ARIMA and soft computing

J Kaur, S Singh, KS Parmar, K Soni - Arabian Journal of Geosciences, 2023 - Springer
Fresh air is imminent for life and to thrive on this planet. However, this vital component of life
is ill-effected by fast-paced industrialization, urbanization, automobiles, factories, and coal …

Temporal dynamics and forecasting of aerosol optical depth in megacities Lahore and Karachi: Insights from the Indo-Gangetic Basin and southern Pakistan, and …

U Waris, S Tariq - Atmospheric Pollution Research, 2024 - Elsevier
This scientific study investigates the temporal dynamics and forecasts aerosol optical depth
(AOD) in Lahore and Karachi, Pakistan's two most populated cities. Lahore, in the center of …

[HTML][HTML] Forecasting Foreign Direct Investment Inflow to Bangladesh: Using an Autoregressive Integrated Moving Average and a Machine Learning-Based Random …

MM Islam, A Jannat, K Aruga, MM Rashid - Journal of Risk and Financial …, 2024 - mdpi.com
This study focuses on the challenge of accurately forecasting foreign direct investment (FDI)
inflows to Bangladesh, which are crucial for the country's sustainable economic growth …

Estimation of COVID-19 patient numbers using artificial neural networks based on air pollutant concentration levels

GA Keskin, ŞÇ Doğruparmak, K Ergün - Environmental Science and …, 2022 - Springer
The dilemma between health concerns and the economy is apparent in the context of
strategic decision making during the pandemic. In particular, estimating the patient numbers …