Model-predictive design is applied to solid-dosage processes. Model-predictive design—used to define, predict, and control a process—is well established in many industries and is beginning to take ...
Novel semiconductor technologies are creating complex process flows, which are needed to support the manufacturing of advanced 3D semiconductor structures. It can be helpful to model process flows, ...
Process engineers and integrators can use virtual process modeling to test alternative process schemes and architectures without relying on wafer-based testing. One important aspect of building an ...
In-silico design facilitates process optimization and evaluation of process control strategies. The pharmaceutical industry has recognized the value of implementing a systematic approach to drug ...
We propose an approach for the modeling, monitoring and control of operational risk in financial institutions based on a methodology that integrates business process modeling with statistical and ...
It’s a topic that cannot be avoided for any longer. The ongoing Paris Climate Conference has seen an unprecedented amount of participation - even before the summit began, over 150 countries submitted ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
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