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To overcome the challenges, we propose three predictive models and further take a data stream ensemble framework to predict the number of passengers.
We use this framework to predict failure loads for various adhesive joints.
A proposal is developed in a multiaxial fatigue framework to predict the experimental results.
We propose BrainNetCNN, a convolutional neural network (CNN) framework to predict clinical neurodevelopmental outcomes from brain networks.
This work develops an indepth, comprehensive, analytical modeling framework to predict the water condensation in waste gas-powered AWH systems.
This paper revisits the original study after two decades to determine the ability of the framework to predict manufacturer success.
We also use the framework to predict the EFBI in 2020 for a number of land-use change scenarios.
Analytical models and new algorithms are designed in the framework to predict lightpath signal quality in dynamic network environments.
We provide a framework to predict reef accretion and population persistence under varying recruitment, growth and mortality scenarios.
In order to evaluate the extent of improvement, we established a mathematical modeling-based framework to predict the relationship between genetic design and monoterpene production (Online Methods, Supplementary Note 3, and Supplementary Tables 2–5).
The strategic shielding approach is used within a coupled atomistic-continuum discrete dislocation framework to predict the effect of hydrogen on near threshold fatigue crack growth rates.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com