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The course will cover machine-learning approaches to model and mine biological data.
We describe two numerical approaches to model the material failure process by void growth and coalescence.
Despite this, systems biology approaches to model these pathways are often missing or not used.
Recently, multiple works proposed "multi-model" based approaches to model nonlinear systems.
Phenomenological approaches to model species migration are usually based on kernel-based methods.
Anil and Heejung's paper on using multi-scale approaches to model DNase data at TF binding sites is out on bioRxiv.
In prior work, the Califano Lab has developed methods that combine computational and experimental approaches to model cancer cell regulatory networks.
In this contribution, approaches to model knots and the grain course in an FE-simulation are presented.
There is a dearth for practice-based approaches to model ASR/DEF related expansion in reinforced concrete.
Two commonly used approaches to model fatigue damage are the residual stiffness and the residual strength approach.
This solution complements earlier semi-analytical and numerical approaches to model solute transport with the PCNE model.
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