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This course focuses on the design and development of computational models to understand and predict the dynamic behavior of systems.
We address this problem from the perspective of the development of Computational Models of Emotions (CMEs).
This data has been used previously in behavioral analyses, sequence-based analysis, and development of computational models.
Accurate material property descriptions of biological tissues are crucial to the development of computational models that mimic human responses.
Rapid advances in entertainment technology necessitate the development of computational models for interactive plots capable of creating engaging stories that are meaningfully interactive.
Therefore, advanced electromagnetic models were applied during the development of computational models, thus allowing a realistic representation of the first stroke current waveform.
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The development of computational modeling helps to design new glutamic acid derivatives and to understand the inhibition mechanism of those compounds.
On other hand, the development of computational modeling helps to understand the inhibition mechanism of those compounds and to develop the newly designed inhibitors.
His work focuses on the development of computational modeling techniques and risk-based methodologies for the analysis and design of structures under multiple hazards, with a specialization in structural fire engineering.
The inherent complexity involved in the molecular processes governing life has motivated the development of computational modeling and simulation techniques to decipher their ensemble dynamics.
The development and testing of computational models of cognition is typically ad hoc: few generally agreed methodological principles guide the process.
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