| Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the … S Singh, KS Parmar, J Kumar, SJS Makkhan Chaos, solitons & fractals 135, 109866, 2020 | 180 | 2020 |
| 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, S Peshoria, J Kumar Chaos, Solitons & Fractals 139, 110086, 2020 | 120 | 2020 |
| Autoregressive models in environmental forecasting time series: a theoretical and application review J Kaur, KS Parmar, S Singh Environmental Science and Pollution Research 30 (8), 19617-19641, 2023 | 94 | 2023 |
| Prediction of COVID-19 pervasiveness in six major affected states of India and two-stage variation with temperature S Singh, KS Parmar, J Kaur, J Kumar, SJS Makkhan Air Quality, Atmosphere & Health, 1-12, 2021 | 7 | 2021 |
| Prediction of confirmed, recovered and casualties’ cases of COVID-19 in India by autoregressive integrated moving average (ARIMA) models S Singh, KS Parmar, J Kumar, J Kaur Modeling, Control and Drug Development for COVID-19 Outbreak Prevention, 153-181, 2022 | 4 | 2022 |
| Wavelet Transforms in Psychological Science: A Multiscale Approach to Cognitive, Clinical, and Developmental Insights D Sharma, M Kumar, J Kumar Journal of Wavelet Theory and Applications 18 (2), 19-27, 2024 | 1 | 2024 |
| 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 230, 517-540, 2025 | | 2025 |
| Reverse effect of Wavelets on ES and ARIMA Models using electricity demand time series data M Kumar, J Kumar | | 2023 |
