Drupal-Biblio17<style face="normal" font="default" size="100%">Pharmacokinetic modeling of caco-2 cell permeability using genetic programming (GP) method</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Prediction of higher heating value of solid biomass fuels using artificial intelligence formalisms</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indices</style>Drupal-Biblio47<style face="normal" font="default" size="100%">Development of genetic programming based softsensor model for styrene polymerization process and its application in model based control</style>Drupal-Biblio17<style face="normal" font="default" size="100%">High ash char gasification in thermo-gravimetric analyzer and prediction of gasification performance parameters using computational intelligence formalisms</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Prediction of reactivity ratios in free radical copolymerization from monomer resonance-polarity (Q-e) parameters: genetic programming-based models</style>Drupal-Biblio47<style face="normal" font="default" size="100%">Use genetic programming for selecting predictor variables and modeling in process identification</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Application of genetic programming (GP) formalism for building disease predictive models from protein-protein interactions (PPI) data</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Co-gasification of high ash coal–biomass blends in a fluidized bed gasifier: experimental study and computational intelligence-based modeling</style>