Sentence examples for behavior we developed a from inspiring English sources

To identify suspicious behavior, we developed a set of domain-independent features and domain-specific quality measures to evaluate the behaviors of individual users and the crowd.

Based on a comprehensive assessment of realistic closure behavior, we developed a Hertz-based theoretical model to predict the closure behavior of a rock joint under compressive loading.

In this paper, based on the anomalous diffusion phenomena that also have the long-tail behavior, we developed a new fractional decline curve (FDC) model with three fitting parameters using the general solution of the fractional diffusion equations, which is a special case of so-called Mittag-Leffler function.

To capture these changes of the hypocotyl growth behavior, we developed a model describing hypocotyl growth.

Since current models based on the CLV-WUS feedback hypothesis [13] address meristem maintenance in fixed developmental conditions and therefore cannot account for such a behavior, we developed a quantitative model to uncover the underlying logic of plant stem cell control.

To investigate the role of ultrasonic vocalizations during social behavior, we developed a microphone-array-based system for localizing the source of USVs in socially interacting groups of mice.

For each behavior, we developed an abstract version by describing the behavior as being common to a group of people.

In order to further investigate the mechanistic basis for this divergent behavior, we developed an assay to test the schooling behavior of individuals.

In assessing the effects of OnCDS on consumer behavior, we develop a research model that encompasses trust and perceived risk based on the valence framework.

To assist with these behaviors, we developed a prototype PHA for diabetes self-management that was based on User-Centered Design principles and congruent with the anticipatory vision of Project Health Design PHDD).

Since data analysis is the bottleneck of prolonged, detailed studies of behavior, we developed PyCelegans, a suite of tools that leverages high performance parallel computing to speed up the computational analysis in our workflow.