Wavelet and statistical analysis of river water quality parameters. - Kulwinder Singh Parmar; Rashmi Bhardwaj (Appl. Math. Comput., 2013)

Neuro-fuzzy-wavelet hybrid approach to estimate the future trends of river water quality. - Kulwinder Singh Parmar; Sidhu Jitendra Singh Makkhan; Sachin Kaushal (Neural Comput. Appl., 2019)

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; Kulwinder Singh Parmar; Narjes Nabipour; Shahaboddin Shamshirband (IEEE Access, 2020)

Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data. - Rana Muhammad Adnan; Zhongmin Liang; Kulwinder Singh Parmar; Kirti Soni; Özgür Kisi (Neural Comput. Appl., 2021)

Soft computing model coupled with statistical models to estimate future of stock market. - Sarbjit Singh; Kulwinder Singh Parmar; Jatinder Kumar (Neural Comput. Appl., 2021)

The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction. - Rana Muhammad Adnan; Ahmed A. Ewees; Kulwinder Singh Parmar; Zaher Mundher Yaseen; Shamsuddin Shahid; Özgür Kisi (Appl. Soft Comput., 2022)

Comparison of hybrid machine learning model for the analysis of black carbon in air around the major coal mines of India. - Sidhu Jitendra Singh Makkhan; Sarbjit Singh; Kulwinder Singh Parmar; Sachin Kaushal; Kirti Soni (Neural Comput. Appl., 2023)