Sentence examples for model collision from inspiring English sources

In the traditional Borgnakke-Larsen model, collision energies are partitioned among contributing energy modes as dictated by fractions sampled from equilibrium distributions.

In this model, collision between two transiently "open", dimerization-competent receptors leads to ligand-independent dimerization.

Eichhorn et al. (2012) stated that based on a validated model, collision risk decreased exponentially with an increase in turbine-aerie distance, which could not be verified by Carrete et al. (2012).

Level set functions are used to capture interfaces, compute rigid motions inside the solid bodies and model collisions between bodies.

This paper describes an empirical study aiming at identifying the main differences between different logistic regression models and collision data aggregation methods that are commonly applied in road safety literature for modeling collision severity.

Statistically, it is important to consider modeling collision type frequencies simultaneously to account for the possibility of common unobserved factors affecting crash frequencies across crash types.

The new algorithms use a more general procedure of modelling collisions between particles.

Different approaches can be used for collision severity analysis: (a) incorporating severity into the collision frequency models by modeling collisions classified by severity types [31, 32, 33, 34]; and (b) modeling the conditional probability of each severity level for a given collision [14, 15, 17, 35, 36].

Towards building a systematic methodology of algorithm design for applications of networked sensor systems, we formally define two link-wise communication models, the Collision Free Model (CFM) and the Collision Aware Model (CAM).

This suggests that efforts to reduce wildlife collisions should focus on driver attitudes and road conditions rather than animal movement, and any efforts to model the collision risk will require actual collision data, and not just movement data.

It is a force-based model using collision prediction with dynamic time-windows to predict future potential collisions with obstacles and other individuals.