Aradhana, A., Singh, B., & Sihag, P. (2021). Predictive models for estimation of labyrinth weir aeration efficiency. Journal of Achievements in Materials and Manufacturing Engineering, 105(1).
Arora, S., Singh, B., & Bhardwaj, B. (2019). Strength performance of recycled aggregate concretes containing mineral admixtures and their performance prediction through various modeling techniques. Journal of Building Engineering, 24, 100741.
Bhoria, S., Sihag, P., Singh, B., Ebtehaj, I., & Bonakdari, H. (2021). Evaluating Parshall flume aeration with experimental observations and advance soft computing techniques. Neural Computing and Applications, 33(24), 17257-17271.
Devender, A. V., & Sharma, S. Traffic Accident Investigation Process: A Case Study in Panipat District of Haryana State, India.
Minocha, V. K., & Singh, B. (2023). Discussion of “Prediction of Maximum Scour Depth near Spur Dikes in Uniform Bed Sediment Using Stacked Generalization Ensemble Tree-Based Frameworks” by Manish Pandey, Mehdi Jamei, Masoud Karbasi, Iman Ahmadianfar, and Xuefeng Chu. Journal of Irrigation and Drainage Engineering, 149(1), 07022018.
Nivesh, S., Negi, D., Kashyap, P. S., Aggarwal, S., Singh, B., Saran, B., … & Sihag, P. (2022). Prediction of river discharge of Kesinga sub-catchment of Mahanadi basin using machine learning approaches. Arabian Journal of Geosciences, 15(16), 1-19.
Nivesh, S., Negi, D., Kashyap, P. S., Aggarwal, S., Singh, B., Saran, B., … & Sihag, P. (2022). Prediction of river discharge of Kesinga sub-catchment of Mahanadi basin using machine learning approaches. Arabian Journal of Geosciences, 15(16), 1369.
Pandhiani, S. M., Sihag, P., Shabri, A. B., Singh, B., & Pham, Q. B. (2020). Time-series prediction of streamflows of Malaysian rivers using data-driven techniques. Journal of Irrigation and Drainage Engineering, 146(7), 04020013.
Pandhiani, S. M., Sihag, P., Shabri, A. B., Singh, B., & Pham, Q. B. (2021). Closure to “Time-Series Prediction of Streamflows of Malaysian Rivers Using Data-Driven Techniques” by Siraj Muhammed Pandhiani, Parveen Sihag, Ani Bin Shabri, Balraj Singh, and Quoc Bao Pham. Journal of Irrigation and Drainage Engineering, 147(9), 07021015.
Sepahvand, A., Singh, B., Ghobadi, M., & Sihag, P. (2021). Estimation of infiltration rate using data-driven models. Arabian Journal of Geosciences, 14(1), 1-11.
Sepahvand, A., Singh, B., Sihag, P., Nazari Samani, A., Ahmadi, H., & Fiz Nia, S. (2021). Assessment of the various soft computing techniques to predict sodium absorption ratio (SAR). ISH Journal of Hydraulic Engineering, 27(sup1), 124-135.
Sihag, P., Esmaeilbeiki, F., Singh, B., & Pandhiani, S. M. (2020). Model-based soil temperature estimation using climatic parameters: the case of Azerbaijan Province, Iran. Geology, Ecology, and Landscapes, 4(3), 203-215.
Sihag, P., Esmaeilbeiki, F., Singh, B., Ebtehaj, I., & Bonakdari, H. (2019). Modeling unsaturated hydraulic conductivity by hybrid soft computing techniques. Soft Computing, 23(23), 12897-12910.
Sihag, P., Kumar, M., & Singh, B. (2021). Assessment of infiltration models developed using soft computing techniques. Geology, Ecology, and Landscapes, 5(4), 241-251.
Sihag, P., Singh, B., Gautam, S., & Debnath, S. (2018). Evaluation of the impact of fly ash on infiltration characteristics using different soft computing techniques. Applied Water Science, 8(6), 1-10.
Sihag, P., Singh, B., Said, M. A. B. M., & Azamathulla, H. M. (2022). Prediction of Manning’s coefficient of roughness for high-gradient streams using M5P. Water Supply, 22(3), 2707-2720.
Sihag, P., Singh, B., Sepah Vand, A., & Mehdipour, V. (2020). Modeling the infiltration process with soft computing techniques. ISH Journal of Hydraulic Engineering, 26(2), 138-152.
Singh, A., Singh, B., & Sihag, P. (2021). Experimental investigation and modeling of aeration efficiency at Labyrinth Weirs. Journal of Soft Computing in Civil Engineering, 5(3), 15-31.
Singh, B. (2020). Prediction of the sodium absorption ratio using data-driven models: a case study in Iran. Geology, Ecology, and Landscapes, 4(1), 1-10.
Singh, B., & Sihag, P. (2022). Discussion of “Determination of Discharge Distribution in Meandering Compound Channels Using Machine Learning Techniques” by Abinash Mohanta, Arpan Pradhan, and KC Patra. Journal of Irrigation and Drainage Engineering, 148(12), 07022012.
Singh, B., & Singh, T. Soft Computing-Based Prediction of Compressive Strength of High Strength Concrete. In Applications of Computational Intelligence in Concrete Technology (pp. 207-218). CRC Press.
Singh, B., Ebtehaj, I., Sihag, P., & Bonakdari, H. (2022). An expert system for predicting the infiltration characteristics. Water Supply, 22(3), 2847-2862.
Singh, B., Sihag, P., & Deswal, S. (2019). Modelling of the impact of water quality on the infiltration rate of the soil. Applied Water Science, 9(1), 1-9.
Singh, B., Sihag, P., & Singh, K. (2017). Modelling of impact of water quality on infiltration rate of soil by random forest regression. Modeling Earth Systems and Environment, 3(3), 999-1004.
Singh, B., Sihag, P., & Singh, K. (2018). Comparison of infiltration models in NIT Kurukshetra campus. Applied Water Science, 8(2), 1-8.
Singh, B., Sihag, P., Pandhiani, S. M., Debnath, S., & Gautam, S. (2021). Estimation of permeability of soil using easy measured soil parameters: assessing the artificial intelligence-based models. ISH Journal of Hydraulic Engineering, 27(sup1), 38-48.
Singh, B., Sihag, P., Parsaie, A., & Angelaki, A. (2021). Comparative analysis of artificial intelligence techniques for the prediction of infiltration process. Geology, Ecology, and Landscapes, 5(2), 109-118.
Singh, B., Sihag, P., Singh, K., & Kumar, S. (2021). Estimation of trapping efficiency of a vortex tube silt ejector. International Journal of River Basin Management, 19(3), 261-269.
Singh, B., Sihag, P., Singh, V. P., Sepahvand, A., & Singh, K. (2021). Soft computing technique-based prediction of water quality index. Water Supply, 21(8), 4015-4029.
Singh, B., Sihag, P., Tomar, A., & SEHGAL, A. (2019). Estimation of compressive strength of high-strength concrete by random forest and M5P model tree approaches. Journal of Materials and Engineering Structures «JMES», 6(4), 583-592.
Singh, K., Singh, B., Sihag, P., Kumar, V., & Sharma, K. V. (2023). Development and application of modeling techniques to estimate the unsaturated hydraulic conductivity. Modeling Earth Systems and Environment, 1-15.
Singh, T., Singh, B., Bansal, S., & Saggu, K. Prediction of Ultrasonic Pulse Velocity of Concrete. In Applications of Computational Intelligence in Concrete Technology (pp. 235-251). CRC Press.
Vand, A. S., Sihag, P., Singh, B., & Zand, M. (2018). Comparative evaluation of infiltration models. KSCE Journal of Civil Engineering, 22(10), 4173-4184.
Vashisth, A., & Devender, S. S. Road Safety Status in Top 20 Economies of the World.
Vashisth, A., & Kumar, R. (2018). Review on Effect of Pavement Characteristics on Fuel Consumption. International Journal of Engineering and Advanced Technology (IJEAT), 1-5.
Vashisth, A., Kumar, R., & Sharma, S. (2018). Major principles of sustainable transport system: a literature review. International Journal for Research in Applied Science & Engineering Technology, 6(2), 218.
Thahiya, V., Afzal, S., Kumar, D. (2015). Rutting behavior- Permanent deformation of flexible pavement. International Journal of Scientific Research & Development (IJSRD), 3-4.
