Due to the wide use and key importance of mathematical models in process engineering,
experiment design is becoming an essential tool for the rapid building and validation of …

Untangling drivers of systems and uncertainty for species distribution models (SDMs) is
important to provide reliable predictions that are useful for conservation campaigns. This is …

In this paper we present the main foundations and features of an integrated framework and
software platform that enables the use of model-based tools in design, operational …

Recently, the need for a more efficient method for ship route planning was raised due to the
financial crisis in the shipping industry, a strengthening of emission regulations, and the …

Computational models are increasingly used to understand and predict complex biological
phenomena. These models contain many unknown parameters, at least some of which are …

Mammalian cell culture systems produce high-value biologics, such as monoclonal
antibodies, which are increasingly being used clinically. A complete framework that …

Abstract Model‐based design of experiments (MBDOE) assists in the planning of highly
effective and efficient experiments. Although the foundations of this field are well …

One common limitation of the use of crop models for decision making in precise crop
management is the need for accurate values of soil parameters for a whole field. Estimating …

Recent developments in multi-parametric optimization and control Multi-Parametric
Optimization and Control provides comprehensive coverage of recent methodological …

In this study we compare the cellular control of recombinant human IgG4 monoclonal
antibody (Mab) synthesis in different CHO cell lines. Based on comprehensive empirical …