Kulwinder Singh Parmar

Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19

Sarbjit Singh, Kulwinder Singh Parmar, Jatinder Kumar, 2020, Chaos, Solitons & Fractals.

Significant Applications of Machine Learning for COVID-19 Pandemic

Mohd Javaid, Abid Haleem, Shashi Bahl, 2020 .

Neuro-fuzzy-wavelet hybrid approach to estimate the future trends of river water quality

Kulwinder Singh Parmar, Sidhu Jitendra Singh Makkhan, Sachin Kaushal, 2019, Neural Computing and Applications.

Prediction of River Water Quality Parameters Using Soft Computing Techniques

Kirti Soni, Kulwinder Singh Parmar, Sarbjit Singh, 2021 .

Improvements in the Explicit Estimation of Pollutant Dispersion Coefficient in Rivers by Subset Selection of Maximum Dissimilarity Hybridized With ANFIS-Firefly Algorithm (FFA)

Hossien Riahi-Madvar, Majid Dehghani, Narjes Nabipour, 2020, IEEE Access.