Neelakantan, T.R.
Neelakantan, T.R.
Dean & Professor, School of Civil Engineering, SASTRA Deemed University
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Cited by
Cited by
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
Design of water distribution networks using particle swarm optimization
CR Suribabu, TR Neelakantan
Urban Water Journal 3 (2), 111-120, 2006
Hedging rule optimisation for water supply reservoirs system
TR Neelakantan, NV Pundarikanthan
Water resources management 13, 409-426, 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
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
Feature selection in ischemic heart disease identification using feed forward neural networks
K Rajeswari, V Vaithiyanathan, TR Neelakantan
Procedia Engineering 41, 1818-1823, 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
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
Using neural networks to predict peak Cryptosporidium concentrations
GM Brion, TR Neelakantan, S Lingireddy
Journal‐American Water Works Association 93 (1), 99-105, 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
Optimisation procedure for pipe-sizing with break-repair and replacement economics
TR Neelakantan, CR Suribabu, S Lingireddy
Water SA 34 (2), 217-224, 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
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
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
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
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
Particle Swarm Optimization Compared to Other Heuristic Search Techniques for Pipe Sizing.
CR Suribabu, TR Neelakantan
Journal of Environmental Informatics 8 (1), 2006
Review of hedging rules applied to reservoir operation
TR Neelakantan, K Sasireka
Int. J. Eng. Technol 7 (5), 1571-1580, 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
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
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