… , a methodology to predict the breaking force and disintegration time of tablet formulations
using … The input variables to the model include intrinsic properties of formulation and extrinsic …

… it is possible to build successful predictive models to help with formulation development. This
… has a good predictive power, and such a model could be of great value in the formulation …

… -based model that helps us predict the future link quality for intelli… predict millimeter-wave
future received power in an indoor environment. The model is pre-trained using formulation-aid …

… a formulation expert system to predict the in vim drug release profile from hydrophilic matrix
tablets. Formulation expert systems or Computer Aided Formulation … computational power of …

… predictive power of AI and ML, pharmaceutical scientists may be able to streamline the
development of such formulations … ML to predict properties of drug formulations. Supervised ML …

… In combination with predictive power control, we investigate the use of multiple-description
coding (MDC), zero-error coding (ZEC), and network coding and provide sufficient conditions …

… and reaction times of power producers and … to predict Stb in (ranging from −0.0808 to +0.1094
s −2 ) for this published simulation from its independent variables. TOB manages to predict …

… The predicting power of the used ANN was evaluated by calculating the … thereby aids in
the selection of the most appropriate one. Hence, in the current study, it can be easily predicted …

… ’s prediction power would be harmed by this information. Using a least squares support vector
machine (LSSVM) (13), a model for predicting the optimal pharmaceutical formulation was …

… since the first comprehensive trial of 2-week predictions by Miyakoda etal. (1972), the … -stepping
techniques has freed computational power to aid the introduction of increased resolution …