The phrase "and predicting the processes" is correct and usable in written English.
You can use it when discussing the ability to foresee or anticipate certain actions or events within a system or framework.
Example: "The research focuses on understanding the variables involved in the experiment and predicting the processes that will occur as a result."
Alternatives: "and forecasting the procedures" or "and anticipating the operations".
Among many things, this requires understanding and predicting the process of cross-pollination between the different varieties cultivated on a given landscape.
Without mastering the art of optimising, controlling and predicting the process, there is no hope of developing this powerful process into a main-stream industrial scale materials processing process as has happened for metallurgical processes, such as melting, casting, or heat treatment.
Future efforts should focus on increasing sampling density and developing predictive models to further quantify and predict the processes that lead to 87Sr/86Sr variability.
12, 13 Integrative models of cognitive, affective, and social determinants of health behaviour have been proposed to describe and predict the processes involved in the self-regulation of health threats.
The aim of this work was to model and predict the process of bioethanol production from intermediates and byproduct of sugar beet processing by applying artificial neural networks.
Studying what happens this time will help reef managers understand and predict the process.
Simultaneously, many mathematical models have been proposed to describe and predict the process of NF.
A mathematical model was developed and used to describe and predict the process deformation and both the stress and temperature distribution profile along the workpiece.
Modeling of the supercritical fluid extraction of solid materials is an important aspect in order to understand and predict the process.
From an industrial perspective, the application of a microwave extraction method to the extraction of bioactive compounds from plant material requires a mathematical model to optimize and predict the process in order for it to replace conventional extraction methods.
