화학공학소재연구정보센터
검색결과 : 20건
No. Article
1 Paracrine signalling by cardiac calcitonin controls atrial fibrogenesis and arrhythmia
Moreira LM, Takawale A, Hulsurkar M, Menassa DA, Antanaviciute A, Lahiri SK, Mehta N, Evans N, Psarros C, Robinson P, Sparrow AJ, Gillis MA, Ashley N, Naud P, Barallobre-Barreiro J, Theofilatos K, Lee A, Norris M, Clarke MV, Russell PK, Casadei B, Bhattacharya S, Zajac JD, Davey RA, Sirois M, Mead A, Simmons A, Mayr M, Sayeed R, Krasopoulos G, Redwood C, Channon KM, Tardif JC, Wehrens XHT, Nattel S, Reilly S
Nature, 587(7834), 460, 2020
2 Paracrine signalling by cardiac calcitonin controls atrial fibrogenesis and arrhythmia
Moreira LM, Takawale A, Hulsurkar M, Menassa DA, Antanaviciute A, Lahiri SK, Mehta N, Evans N, Psarros C, Robinson P, Sparrow AJ, Gillis MA, Ashley N, Naud P, Barallobre-Barreiro J, Theofilatos K, Lee A, Norris M, Clarke MV, Russell PK, Casadei B, Bhattacharya S, Zajac JD, Davey RA, Sirois M, Mead A, Simmons A, Mayr M, Sayeed R, Krasopoulos G, Redwood C, Channon KM, Tardif JC, Wehrens XHT, Nattel S, Reilly S
Nature, 587(7834), 460, 2020
3 Development of support vector regression-based soft sensor Application was used in a commercial ethylene glycol plant
Lahiri SK, Sawke S, Khalfe N, Al Ghamdi J
Hydrocarbon Processing, 89(12), 77, 2010
4 PROCESS MODELING AND OPTIMIZATION OF INDUSTRIAL ETHYLENE OXIDE REACTOR BY INTEGRATING SUPPORT VECTOR REGRESSION AND GENETIC ALGORITHM
Lahiri SK, Khalfe N
Canadian Journal of Chemical Engineering, 87(1), 118, 2009
5 Genetic algorithm tuning improves artificial neural network models
Lahiri SK, Ghanta KC
Hydrocarbon Processing, 88(1), 73, 2009
6 Computational fluid dynamics simulation of solid-liquid slurry flow The resulting model's predictions showed reasonably good agreement with the experimental data
Lahiri SK, Ghanta KC
Hydrocarbon Processing, 88(4), 99, 2009
7 A support vector classification method for regime identification of slurry transport in pipelines
Lahiri SK, Ghanta KC
Hydrocarbon Processing, 88(8), 71, 2009
8 Support vector regression with parameter tuning assisted by differential evolution technique: Study on pressure drop of slurry flow in pipeline
Lahiri SK, Ghanta KC
Korean Journal of Chemical Engineering, 26(5), 1175, 2009
9 Development of an artificial neural network correlation for prediction of hold-up of slurry transport in pipelines
Lahiri SK, Ghanta KC
Chemical Engineering Science, 63(6), 1497, 2008
10 Prediction of Pressure Drop of Slurry Flow in Pipeline by Hybrid Support Vector Regression and Genetic Algorithm Model
Lahiri SK, Ghanta KC
Chinese Journal of Chemical Engineering, 16(6), 841, 2008