Deep Neural Networks for Assessing Sustainable Jet Fuels from Two-Dimensional Gas Chromatography

2022 ◽  
Author(s):  
Jihun Oh ◽  
Anna Oldani ◽  
Tonghun Lee ◽  
Linda Shafer
2011 ◽  
Vol 1218 (28) ◽  
pp. 4478-4486 ◽  
Author(s):  
Rina van der Westhuizen ◽  
Mariam Ajam ◽  
Piet De Coning ◽  
Jan Beens ◽  
André de Villiers ◽  
...  

i-Perception ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 204166952092509
Author(s):  
Christoph Redies

In recent years, there has been an increasing number of studies on objective image properties in visual artworks. Little is known, however, about how these image properties emerge while artists create their artworks. In order to study this matter, I produced five colored abstract artworks by myself and recorded state images at all stages of their creation. For each image, I then calculated low-level features from deep neural networks, which served as a model of responses properties in visual cortex. Two-dimensional plots of variances that were derived from these features showed that the drawings differ greatly at early stages of their creation, but then follow a narrow common path to terminate at or close to a position where traditional paintings cluster in the plots. Whether other artists use similar perceptive strategies while they create artworks remains to be studied.


Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong

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