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Nevertheless, this integration is challenging both at modeling and computational effort to obtain solutions.
To estimate and update the reliability of deteriorating structural systems with inspection and monitoring results, we develop a modeling and computational framework based on dynamic Bayesian networks (DBNs).
The present article reviews recent progress made toward developing modeling and computational strategies to simulate cryogenic cavitation relevant to liquid rocket propulsion applications.
Based on the extensive experimental studies, numerous modeling and computational approaches have been developed to capture the process information and make predictions.
However, the visual tracker based on the KF, referred to as the Kalman tracker (KT), has the drawback that its performance can decrease due to modeling and computational errors.
It makes use of traditional DFT systemic modeling procedure and by replicating the true casual nature of the system can produce relevant results with low effort in term of modeling and computational time.
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However, modeling, algorithmic, and computational challenges arise from these research opportunities.
It addresses the requirements for effective industrial use, and trade-offs between modeling accuracy and computational costs.
The proposed modeling approach and computational methods are quite general and could be useful in the investigation of a wide variety of phenomena involving membrane-protein interactions.
The field of systematic structure-based drug design is becoming more promising along with the continuous developments in molecular modeling software and computational hardware.
The comparison shows that the ALE technique is a better method for describing the tunnel response for above ground explosion with regards to modeling accuracy and computational efficiency.
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