Computer based models have become an indispensable means for the planning, optimisation and operation of industrial manufacturing systems.
The Matrix-Factorization (MF) based models have become popular when building Collaborative Filtering (CF) recommenders, due to the high accuracy and scalability.
Individual based models have become a valuable tool for modeling the spatiotemporal dynamics of epidemics, e.g. influenza pandemic, and for evaluating the effectiveness of intervention strategies.
For three-dimensional structure prediction, modeled structure, by applying template-based modeling, has become so accurate that they can be applied for molecular replacement information in many cases.
Constraint-based modeling has become a successful framework for the analysis of large and complex stoichiometric biochemical networks [ 1].
Constraint-based modeling has become a widely used approach for the analysis of genome-scale reconstructions of metabolic networks [ 1].
Rule-based modeling has become a powerful approach for modeling intracellular networks, which are characterized by rich molecular diversity.
Consequently, constraint-based modeling has become a powerful alternative, since it obviates this prerequisite by approximating metabolism in steady-state [ 9].
This richer modeling has become very popular.
High-frequency trading, which involves computers making split-second decisions based on mathematical models, has become increasingly widespread in financial markets.
His subscription-based business model has become standard.
