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Adaptive modeling embeds the tacit knowledge of investigators in network models for prediction and analysis.
The methodology is implemented in a program called "Metal Fatigue Prediction and Analysis" (MFPA).
The research provides a theoretical basis and calculation tool for mining subsidence prediction and analysis.
Prediction and analysis of stock market data have got an important role in today's economy.
The fully prognostic mode provides "state-of-the-art climate prediction and analysis tools" (Vertenstein et al. 2012).
This paper introduces the discrete singular convolution (DSC) algorithm for the prediction and analysis of high-frequency vibration of structures.
In order to describe the processes and their interaction accurately, tailored algorithms are required for prediction and analysis.
The main aim of this work is the theoretical prediction and analysis of the nonlinear behavior of crystallization processes.
The models can be set as fully prognostic, data, or stub and are "state-of-the-art climate prediction and analysis tools" [11] when set in prognostic mode.
The miRNA target prediction and analysis were performed with the algorithms from TargetScan (http://www.targetscan.org/) PicTar (http://pictar.mdc-berlin.de/) and miRanda (http://www.microrna.org/).org/
Molecular dynamics as a computer simulation technique, which uses a time-based statistical mechanics method to study the interrelation of atoms for conditions prediction and analysis.
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