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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-7102-2
Abstract: In this paper, we propose a novel method for assessing 3D model representation via CNN and RNN networks. First, a visual tool developed with OpenGL is utilized to extract virtual views of each 3D model…
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Keywords:
rnn networks;
model representation;
retrieval;
cnn rnn ... See more keywords
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Published in 2017 at "Biophysical Journal"
DOI: 10.1016/j.bpj.2016.11.1852
Abstract: Electron cryo-microscopy (cryoEM) has been used to resolve atomic resolution biological structures. However, the resulting density maps and models still lack assessment of accuracy and reproducibility. The densities of some residues particularly, the negative charged…
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Keywords:
cryo structural;
model representation;
microscopy;
structural model ... See more keywords
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Published in 2020 at "Fluid Phase Equilibria"
DOI: 10.1016/j.fluid.2020.112485
Abstract: Abstract This paper presents an experimental and modeling study of the systems pure AMP, AMP/H2O and AMP/CO2/H2O. All available data in the literature is collected and new experimental data for the ternary AMP/CO2/H2O system are…
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Keywords:
model representation;
amp;
co2;
h2o ... See more keywords
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Published in 2022 at "Optics express"
DOI: 10.1364/oe.473084
Abstract: The end-to-end (E2E) optimization of optics and image processing, dubbed deep optics, has renewed the state-of-the-art in various computer vision tasks. However, specifying the proper model representation or parameterization of the optical elements remains elusive.…
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Keywords:
model representation;
depth estimation;
optics;
deep optics ... See more keywords