| Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting BB Sahoo, R Jha, A Singh, D Kumar Acta Geophysica 67 (5), 1471-1481, 2019 | 226 | 2019 |
| Compressive strength prediction of high-performance concrete using gradient tree boosting machine MR Kaloop, D Kumar, P Samui, JW Hu, D Kim Construction and Building Materials 264, 120198, 2020 | 118 | 2020 |
| Forecasting monthly precipitation using sequential modelling D Kumar, A Singh, P Samui, RK Jha Hydrological sciences journal 64 (6), 690-700, 2019 | 118 | 2019 |
| Application of soft computing techniques for shallow foundation reliability in geotechnical engineering R Ray, D Kumar, P Samui, LB Roy, ATC Goh, W Zhang Geoscience Frontiers 12 (1), 375-383, 2021 | 92 | 2021 |
| Particle swarm optimization algorithm-extreme learning machine (PSO-ELM) model for predicting resilient modulus of stabilized aggregate bases MR Kaloop, D Kumar, P Samui, AR Gabr, JW Hu, X Jin, B Roy Applied Sciences 9 (16), 3221, 2019 | 72 | 2019 |
| A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine D Jahed Armaghani, D Kumar, P Samui, M Hasanipanah, B Roy Engineering with computers 37, 3221-3235, 2021 | 71 | 2021 |
| Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance J Zeng, B Roy, D Kumar, AS Mohammed, DJ Armaghani, J Zhou, ... Engineering with Computers, 1-17, 2022 | 70 | 2022 |
| A novel intelligent ELM-BBO technique for predicting distance of mine blasting-induced flyrock BR Murlidhar, D Kumar, D Jahed Armaghani, ET Mohamad, B Roy, ... Natural Resources Research 29, 4103-4120, 2020 | 62 | 2020 |
| A wavelet-particle swarm optimization-extreme learning machine hybrid modeling for significant wave height prediction MR Kaloop, D Kumar, F Zarzoura, B Roy, JW Hu Ocean Engineering 213, 107777, 2020 | 58 | 2020 |
| Genetic-algorithm-optimized sequential model for water temperature prediction S Stajkowski, D Kumar, P Samui, H Bonakdari, B Gharabaghi Sustainability 12 (13), 5374, 2020 | 55 | 2020 |
| Sobol sensitivity approach for the appraisal of geomedical health risks associated with oral intake and dermal pathways of groundwater fluoride in a semi-arid region of south India D Karunanidhi, P Aravinthasamy, D Kumar, T Subramani, PD Roy Ecotoxicology and environmental safety 194, 110438, 2020 | 54 | 2020 |
| Chromium contamination in groundwater and Sobol sensitivity model based human health risk evaluation from leather tanning industrial region of South India D Karunanidhi, P Aravinthasamy, T Subramani, D Kumar, G Venkatesan Environmental Research 199, 111238, 2021 | 51 | 2021 |
| Application of support vector regression for modeling low flow time series BB Sahoo, R Jha, A Singh, D Kumar KSCE Journal of Civil Engineering 23, 923-934, 2019 | 47 | 2019 |
| Source characterization and human health risk assessment of nitrate in groundwater of middle Gangetic Plain, India D Kumar, A Singh, RK Jha, BB Sahoo, SK Sahoo, V Jha Arabian journal of geosciences 12, 1-12, 2019 | 39 | 2019 |
| Predicting groundwater depth fluctuations using deep learning, extreme learning machine and Gaussian process: a comparative study D Kumar, T Roshni, A Singh, MK Jha, P Samui Earth Science Informatics 13 (4), 1237-1250, 2020 | 37 | 2020 |
| Using spatial statistics to identify the uranium hotspot in groundwater in the mid-eastern Gangetic plain, India D Kumar, A Singh, RK Jha, SK Sahoo, V Jha Environmental Earth Sciences 77, 1-12, 2018 | 34 | 2018 |
| Sobol sensitivity analysis for risk assessment of uranium in groundwater D Kumar, A Singh, P Kumar, RK Jha, SK Sahoo, V Jha Environmental Geochemistry and health 42, 1789-1801, 2020 | 30 | 2020 |
| A variance decomposition approach for risk assessment of groundwater quality D Kumar, A Singh, RK Jha, SK Sahoo, V Jha Exposure and Health 11, 139-151, 2019 | 28 | 2019 |
| Investigation of health risks related with multipath entry of groundwater nitrate using Sobol sensitivity indicators in an urban-industrial sector of south India D Karunanidhi, P Aravinthasamy, T Subramani, D Kumar, R Setia Environmental Research 200, 111726, 2021 | 25 | 2021 |
| Data-driven approach for rainfall-runoff modelling using equilibrium optimizer coupled extreme learning machine and deep neural network B Roy, MP Singh, MR Kaloop, D Kumar, JW Hu, R Kumar, WS Hwang Applied Sciences 11 (13), 6238, 2021 | 24 | 2021 |
Anshuman SinghNational Institute of Technology PatnaVerified email at nitp.ac.in
