Optimal parameters in variable‐velocity scanning luminescence lifetime microscopy
Sign Up to like & getrecommendations! Published in 2020 at "Microscopy Research and Technique"
DOI: 10.1002/jemt.23566
Abstract: We determine the optimal parameters (scan velocities) for measuring the luminescence lifetime on the microsecond scale using the recently introduced method based on scanning the excitation beam across the sample. Using simulations, we evaluate the… read more here.
Keywords: velocity scanning; microscopy; luminescence lifetime; optimal parameters ... See more keywords
Determining the optimal parameters of 420-nm intense pulsed light on Trichophyton rubrum growth in vitro
Sign Up to like & getrecommendations! Published in 2018 at "Lasers in Medical Science"
DOI: 10.1007/s10103-018-2512-y
Abstract: The effect of and the optimal parameters for intense pulsed light (IPL) with a 420-nm filter on an isolate of the fungus Trichophyton rubrum (T. rubrum) were examined in vitro. Colonies of T. rubrum were… read more here.
Keywords: trichophyton rubrum; pulsed light; optimal parameters; intense pulsed ... See more keywords
Evaluation of optimal parameters of MR fluids for damper application using particle swarm and response surface optimisation
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the Brazilian Society of Mechanical Sciences and Engineering"
DOI: 10.1007/s40430-017-0875-9
Abstract: The controllable rheological properties of MR fluid exhibit viscoelastic properties within pre-yield, which are essential for the characterization of MR dampers for the isolation of vibration. In the present work, using particle swarm optimisation (PSO),… read more here.
Keywords: damper application; optimal parameters; using particle; particle ... See more keywords
Optimal parameters for image reconstruction in ghost imaging via sparsity constraints
Sign Up to like & getrecommendations! Published in 2020 at "Optical Engineering"
DOI: 10.1117/1.oe.59.12.123101
Abstract: Abstract. Ghost imaging via sparsity constraints (GISC) is an advanced imaging technique. The reconstruction quality of GISC is affected by the sparse ratio of the object, the regularization parameter, and the iteration number. Influences of… read more here.
Keywords: reconstruction; imaging via; via sparsity; optimal parameters ... See more keywords
A Novel Learning Rate Schedule in Optimization for Neural Networks and It's Convergence
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DOI: 10.3390/sym12040660
Abstract: The process of machine learning is to find parameters that minimize the cost function constructed by learning the data. This is called optimization and the parameters at that time are called the optimal parameters in… read more here.
Keywords: neural networks; optimal parameters; rate; rate schedule ... See more keywords