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This paper develops a new peridynamic state based model to represent the bending of an Euler Bernoulli beam.
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The proposed model is presented as a graph-based model to represent static part of the network topology.
This technique is designed to alleviate the drift problem by using an MIL based appearance model to represent training data in the form of bags.
The emphasis is on introducing, possibly for the first time, a general surface based peridynamic model to represent the deformation characteristics of structures that have one geometric dimension much smaller than the other two.
A diagrammatic interaction model and a retrieval algorithm based on the model to represent and select design cases are described.
They also introduce a conflict graph model based on the distance-based interference model to represent clearly interferences between links.
The ITS embedded within this learning platform uses example-tracing (Aleven et al., 2009) based task models to represent optimal solutions to learning tasks (problems).
In this paper, we propose a novel model to represent such networks based on temporal graphs obtaining a near-real-time representation of these deterministic dynamic networks.
For some putative regulatory variants, predicting consequences for transcription factor binding by modeling using position-weighted matrices has proved powerful [ 83], and this can be improved using flexible transcription factor models based on hidden Markov models to represent transcription factor binding properties [ 84].
That is why graph based model is developed to represent, store, process and transmit the earthquake information in a network.
A Transmission Line Modeling Method and a circuit based model are used to represent the grounding system and the human body.
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