| Neural network-based simulation-optimization model for reservoir operation TR Neelakantan, NV Pundarikanthan Journal of water resources planning and management 126 (2), 57-64, 2000 | 202 | 2000 |
| Design of water distribution networks using particle swarm optimization CR Suribabu, TR Neelakantan Urban Water Journal 3 (2), 111-120, 2006 | 199 | 2006 |
| Hedging rule optimisation for water supply reservoirs system TR Neelakantan, NV Pundarikanthan Water resources management 13, 409-426, 1999 | 136 | 1999 |
| Mixed-integer programming model for reservoir performance optimization K Srinivasan, TR Neelakantan, PS Narayan, C Nagarajukumar Journal of water resources planning and management 125 (5), 298-301, 1999 | 111 | 1999 |
| A neural-network-based classification scheme for sorting sources and ages of fecal contamination in water GM Brion, TR Neelakantan, S Lingireddy Water research 36 (15), 3765-3774, 2002 | 66 | 2002 |
| Feature selection in ischemic heart disease identification using feed forward neural networks K Rajeswari, V Vaithiyanathan, TR Neelakantan Procedia Engineering 41, 1818-1823, 2012 | 61 | 2012 |
| Land use/cover change detection of Tiruchirapalli City, India, using integrated remote sensing and GIS tools CR Suribabu, J Bhaskar, TR Neelakantan Journal of the Indian Society of Remote Sensing 40, 699-708, 2012 | 57 | 2012 |
| Neural network modelling of Cryptosporidium and Giardia concentrations in the Delaware River, USA TR Neelakantan, GM Brion, S Lingireddy Water Science and Technology 43 (12), 125-132, 2001 | 57 | 2001 |
| Using neural networks to predict peak Cryptosporidium concentrations GM Brion, TR Neelakantan, S Lingireddy Journal‐American Water Works Association 93 (1), 99-105, 2001 | 53 | 2001 |
| Backfilling missing microbial concentrations in a riverine database using artificial neural networks V Chandramouli, G Brion, TR Neelakantan, S Lingireddy Water Research 41 (1), 217-227, 2007 | 48 | 2007 |
| Optimisation procedure for pipe-sizing with break-repair and replacement economics TR Neelakantan, CR Suribabu, S Lingireddy Water SA 34 (2), 217-224, 2008 | 35 | 2008 |
| Hydropower reservoir operation using standard operating and standard hedging policies TR Neelakantan, K Sasireka International Journal of Engineering and Technology 5 (2), 1191-1196, 2013 | 34 | 2013 |
| Balancing reservoir based approach for solution to pressure deficient water distribution networks CR Suribabu, TR Neelakantan International Journal of Civil & Structural Engineering 2 (2), 648-656, 2011 | 32 | 2011 |
| A nonlinear data‐driven model for synthetic generation of annual streamflows KP Sudheer, K Srinivasan, TR Neelakantan, VV Srinivas Hydrological Processes: An International Journal 22 (12), 1831-1845, 2008 | 32 | 2008 |
| Artificial neural network prediction of viruses in shellfish G Brion, C Viswanathan, TR Neelakantan, S Lingireddy, R Girones, ... Applied and environmental microbiology 71 (9), 5244-5253, 2005 | 32 | 2005 |
| Effectiveness of different artificial neural network training algorithms in predicting protozoa risks in surface waters TR Neelakantan, S Lingireddy, GM Brion Journal of Environmental Engineering 128 (6), 533-542, 2002 | 32 | 2002 |
| Particle Swarm Optimization Compared to Other Heuristic Search Techniques for Pipe Sizing. CR Suribabu, TR Neelakantan Journal of Environmental Informatics 8 (1), 2006 | 28 | 2006 |
| Review of hedging rules applied to reservoir operation TR Neelakantan, K Sasireka Int. J. Eng. Technol 7 (5), 1571-1580, 2015 | 21 | 2015 |
| Optimal design of water distribution networks by a modified genetic algorithm TR Neelakantan, CR Suribabu International Journal of Civil and Environmental Engineering 1 (1), 20-34, 2005 | 20 | 2005 |
| Prediction of 28-day compressive strength of concrete from early strength and accelerated curing parameters TR Neelakantan, S Ramasundaram, R Shanmugavel, R Vinoth Int. J. Eng. Technol 5 (2), 1197-1201, 2013 | 18 | 2013 |
Suribabu C.R.ProfessorVerifierad e-postadress på civil.sastra.edu
