All Stories

  1. Computational intelligence models to predict porosity of tablets using minimum features
  2. Effect of roll compaction on granule size distribution of microcrystalline cellulose–mannitol mixtures: computational intelligence modeling and parametric analysis
  3. Computational intelligence modeling of granule size distribution for oscillating milling
  4. Analysis of the Influence of Temperature and Gas Injection on the Onset of Asphaltene Precipitation Using a Response Surface Methodology Approach
  5. Empirical search for factors affecting mean particle size of PLGA microspheres containing macromolecular drugs
  6. A novel approach for modeling and optimization of surfactant/polymer flooding based on Genetic Programming evolutionary algorithm
  7. Transparent computational intelligence models for pharmaceutical tableting process
  8. Fatty Acid Methyl Ester (FAME) composition used for estimation of biodiesel cetane number employing random forest and artificial neural networks: A new approach
  9. Treatment of bentazon herbicide solutions by vacuum membrane distillation
  10. Optimization of vacuum membrane distillation parameters for water desalination using Box–Behnken design
  11. Theoretical modeling of direct contact membrane distillation (DCMD): effects of operation parameters on flux
  12. Accelerated decantation of biodiesel–glycerol mixtures: Optimization of a critical stage in biodiesel biorefinery
  13. PHENOLIC WASTEWATER TREATMENT BY SUPPORTED LIQUID MEMBRANE USING DIFFERENT COOKING OILS AS LIQUID MEMBRANE
  14. Stability and extraction study of phenolic wastewater treatment by supported liquid membrane using tributyl phosphate and sesame oil as liquid membrane
  15. Kinetics and mechanism of sorption of chloride ion from sodium carbonate manufacturing wastewater by Mg–Al oxide
  16. Taguchi optimization approach for phenolic wastewater treatment by vacuum membrane distillation
  17. Pertraction of methylene blue using a mixture of D2EHPA/M2EHPA and sesame oil as a liquid membrane