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Results: 57,892
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  • Higler, A., Krishna, R., Ellenberger, J., & Taylor, R. (1999). Counter-current operation of a structured catalytically packed bed reactor: liquid phase mixing and mass transfer. Chemical Engineering Science, 54, 5145-5152. https://doi.org/10.1016/S0009-2509(99)00229-8
  • Higler, A., Krishna, R., & Taylor, R. (1999). A non-equilibrium cell model for packed distillation columns. The influence of maldistribution. Industrial & Engineering Chemistry Research, 38, 3988-3999. https://doi.org/10.1021/ie990261l
  • Rietveld, S., Vaghi, D., Oud, M., Dooijes, E. H., & Rijssenbeek-Nouwens, L. H. M. (1999). Characteristics and diagnostic significance of spontaneous wheezing in children with asthma; results of continuous in vivo sound recording. Journal of Asthma, 36(4), 351-358. https://doi.org/10.3109/02770909909068228
  • Rietveld, S., Oud, M., & Dooijes, E. H. (1999). Classification of asthmatic breath sounds: preliminary results of the classifying capacity of human examiners versus artificial neural networks. Computers and Biomedical Research, 32(5), 440-448. https://doi.org/10.1006/cbmr.1999.1522
  • Higler, A., Krishna, R., & Taylor, R. (1999). Non-equilibrium cell model for multicomponent (reactive) separation processes. AIChE Journal, 45, 2357-2370. https://doi.org/10.1002/aic.690451111
  • Klint, P. (1999). Leven op een software vulkaan. Automatisering gids, 50.
  • Higler, A., Taylor, R., & Krishna, R. (1999). Nonequilibrium modelling of reactive distillation: multiple steady states in MTBE synthesis. Chemical Engineering Science, 54, 1389-1395. https://doi.org/10.1016/S0009-2509(99)00056-1
  • Vlassis, N., & Kröse, B. J. A. (1999). Mixture conditional density estimation with the EM algorithm. In ICANN'99, 9th Int. Conf. on Artificial Neural Networks (pp. 821-825). IEEE.
  • Lotz, H. T., & Schouten, J. A. (1999). Clathrate hydrates in the system H20-Ar at pressures and temperatures up to 30 kbar and 140 Celsius degrees. Journal of Chemical Physics, 111, 10242. https://doi.org/10.1063/1.480342
  • Vlassis, N., & Kröse, B. J. A. (1999). Robot environment modeling via principal component regression. In Proc. IROS'99, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (pp. 677-682)
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