Simulation of emergency events with fire in virtual road tunnels

Road emergency events are very dangerous, especially if pituitary gland in spanish they happen in tunnels.If such an event occurs with the presence of fire, self-evacuation is the most important.From experience from catastrophic events in Alpine tunnels, people can only have a few minutes to rescue.It was also reason that a lot of changes in techno

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Assignment of Focus Position with Convolutional Neural Networks in Adaptive Lens Based Axial Scanning for Confocal Microscopy

Adaptive lenses offer axial scanning without mechanical translation and thus are promising to replace mechanical-movement-based axial scanning in microscopy.The scan is accomplished by sweeping the applied voltage.However, the relation between the applied voltage and the resulting axial focus position is not unambiguous.Adaptive lenses suffer from

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Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring

In the perspective of an upcoming seasonally ice-free Arctic, understanding the dynamics of sea ice in the changing climate is a major challenge in oceanography and climatology.In particular, the new generation of sea ice models will require fine parameterization of sea ice thickness and rheology.With the rapidly evolving state of sea ice, achievin

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