Search Results for "essential-static"

...It has been widely used in studies of low-light image enhancement, deep learning approaches, and domain adaptation for vision models. Researchers can also explore its associated source code for low-light image enhancement tasks, making it an essential resource for advancing work in night-time and low-light visual recognition.

FRAME3DD is a program for the static and dynamic structural analysis of two- and three-dimensional frames and trusses with elastic and geometric stiffness.

...This tool accepts SRAM scratchpad memory configuration and user parameters (like test data sets, required aging years etc.) and provides aging estimates in terms of Static Noise Margin (the metric of SRAM aging estimation) and in-depth duty cycle analysis. This tool also supports automatic visualization of aging results in form of heatmaps, box plots and histograms. It can also be used as a standalone tool for visualizing YUV 4:2:0p video files. In case of usage, please refer to our DAC'15 paper: M. ...

...It allows the user to define any optical setup (composed typically of laser sources, mirrors, lenses, electro-optical modulators and detectors) and to compute the static laser field at any point. It uses a Hermite-Gauss modal decomposition to simulate diffraction limited optics. This tool is being developed mainly for simulation of large scale interferometers with resonant cavities used for the detection of gravitational waves. Subscribe to the mailing list for updates and news. If you use MIST in your own simulation work, please cite is as G. ...

Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes.

A graphical MatLab framework for estimating the parameters of, modeling and simulating static and dynamic linear and polynomial systems in the errors-in-variables context with the intent of comparing various estimation strategies.