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Tools for modeling the optimal supply planning and efficient demand management of hybrid power systems (HPS) have been well established.
Tools for modeling pulsed flows and constituent fluxes in wetlands, although well developed in theory, have not been well tested in practice.
Neural networks (NN) are general tools for modeling functional relationships in engineering.
Neural networks (NNs) are proving to be ideal tools for modeling the behaviour of the ionosphere.
As disk arrays become widely used, tools for modeling and analyzing the performance of disk arrays become increasingly important.
Probabilistic hybrid discrete/continuous models, such as Concurrent Probabilistic Hybrid Automata (CPHA) are convenient tools for modeling complex robotic systems.
This paper provides a sound basis for using NN as tools for modeling functional relationships implicit in empirical engineering data.
Both the model and the numerical scheme demonstrate their accuracy and efficiency as CAD tools for modeling realistic submicron electron devices.
This paper has discussed development and implementation of spreadsheet-based decision support tools for modeling and solving blending problems in a large-scale brass factory in Turkey.
The purpose of this work is to develop advanced numerical tools for modeling freak waves impact on a floating body undergoing large amplitude motions.
Queuing network models (QNMs) provide powerful notations and tools for modeling and analyzing the performance of many different kinds of systems.
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