Development of an artificial neural network correlation for prediction of hold-up of slurry transport in pipelines SK Lahiri, KC Ghanta chemical engineering science 63 (6), 1497-1509, 2008 | 94 | 2008 |
Prediction of pressure drop of slurry flow in pipeline by hybrid support vector regression and genetic algorithm model SK Lahiri, KC Ghanta Chinese Journal of Chemical Engineering 16 (6), 841-848, 2008 | 86 | 2008 |
Regime identification of slurry transport in pipelines: a novel modelling approach using ANN & differential evolution SK Lahiri, KC Ghanta Chemical Industry and Chemical Engineering Quarterly 16 (4), 329-343, 2010 | 59 | 2010 |
Multivariable predictive control: Applications in industry SK Lahiri John Wiley & Sons, 2017 | 52 | 2017 |
System and method for monitoring a process SK Lahiri, M Husain US Patent 9,892,238, 2018 | 51 | 2018 |
Artificial neural network model with the parameter tuning assisted by a differential evolution technique: The study of the hold up of the slurry flow in a pipeline SK Lahiri, KC Ghanta Chemical Industry and Chemical Engineering Quarterly 15 (2), 103-117, 2009 | 50 | 2009 |
Artificial neural network model with parameter tuning assisted by genetic algorithm technique: study of critical velocity of slurry flow in pipeline SK Lahiri, KC Ghanta Asia‐Pacific Journal of Chemical Engineering 5 (5), 763-777, 2010 | 45 | 2010 |
The support vector regression with the parameter tuning assisted by a differential evolution technique: Study of the critical velocity of a slurry flow in a pipeline SK Lahiri, KC Ghanta Chemical Industry and Chemical Engineering Quarterly 14 (3), 191-203, 2008 | 40 | 2008 |
Experimental and artificial neural network modeling of a Upflow Anaerobic Contactor (UAC) for biogas production from Vinasse OR Dibaba, SK Lahiri, S T’Jonck, A Dutta International Journal of Chemical Reactor Engineering 14 (6), 1241-1254, 2016 | 26 | 2016 |
Process modeling and optimization of industrial ethylene oxide reactor by integrating support vector regression and genetic algorithm SK Lahiri, N Khalfe The Canadian Journal of Chemical Engineering 87 (1), 118-128, 2009 | 21 | 2009 |
Simulated annealing technique to design minimum cost exchanger NM Khalfe, KS Lahiri, KS Wadhwa Chemical Industry and Chemical Engineering Quarterly 17 (4), 409-427, 2011 | 19 | 2011 |
Improve shell and tube heat exchangers design by hybrid differential evolution and ant colony optimization technique SK Lahiri, N Khalfe Asia‐Pacific Journal of Chemical Engineering 9 (3), 431-448, 2014 | 18 | 2014 |
Support vector regression with parameter tuning assisted by differential evolution technique: Study on pressure drop of slurry flow in pipeline SK Lahiri, KC Ghanta Korean journal of chemical engineering 26, 1175-1185, 2009 | 18 | 2009 |
Modeling and optimization of cooking process parameters to improve the nutritional profile of fried fish by robust hybrid artificial intelligence approach T Sadhu, I Banerjee, SK Lahiri, J Chakrabarty Journal of Food Process Engineering 43 (9), e13478, 2020 | 16 | 2020 |
Particle swarm optimization technique for the optimal design of shell and tube heat exchangers SK Lahiri, NM Khalfe, SK Wadhwa Chemical Product and Process Modeling 7 (1), 2012 | 16 | 2012 |
Application of artificial neural network and particle swarm optimization for modelling and optimization of biosorption of lead (II) and nickel (II) from wastewater using dead … B Sarkar, U Sharma, K Adhikari, SK Lahiri, E Baltrėnaitė, P Baltrėnas, ... Journal of the Indian chemical society 98 (3), 100039, 2021 | 15 | 2021 |
Study on slurry flow modelling in pipeline SK Lahiri, KC Ghanta National Institute of Technology, Durgapur, India, 2009 | 15 | 2009 |
Bioremediation of hexavalent chromium from wastewater using bacteria-a green technology P Seragadam, A Rai, KC Ghanta, B Srinivas, SK Lahiri, S Dutta Biodegradation 32 (4), 449-466, 2021 | 14 | 2021 |
Hybrid particle swarm optimization and ant colony optimization technique for the optimal design of shell and tube heat exchangers SK Lahiri, NM Khalfe Chemical Product and Process Modeling 10 (2), 81-96, 2015 | 13 | 2015 |
Modeling of commercial ethylene oxide reactor: A hybrid approach by artificial neural network & differential evolution SK Lahiri, N Khalfe International Journal of Chemical Reactor Engineering 8 (1), 2010 | 12 | 2010 |