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Dr Sandip Kumar Lahiri
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引用次数
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年份
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
942008
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
862008
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
592010
Multivariable predictive control: Applications in industry
SK Lahiri
John Wiley & Sons, 2017
522017
System and method for monitoring a process
SK Lahiri, M Husain
US Patent 9,892,238, 2018
512018
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
502009
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
452010
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
402008
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
262016
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
212009
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
192011
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
182014
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
182009
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
162020
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
162012
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
152021
Study on slurry flow modelling in pipeline
SK Lahiri, KC Ghanta
National Institute of Technology, Durgapur, India, 2009
152009
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
142021
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
132015
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
122010
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