Evaluation and neural network prediction of the wear behaviour of SiC microparticle-filled epoxy resins
Sign Up to like & getrecommendations! Published in 2021 at "Journal of The Brazilian Society of Mechanical Sciences and Engineering"
DOI: 10.1007/s40430-021-02987-6
Abstract: One of the main advantageous characteristics of thermosetting resins, which enable to apply them as engineering plastics and as matrices for composite materials, is the possibility of optimising their properties in different ways. This work… read more here.
Keywords: neural network; evaluation neural; wear behaviour; network prediction ... See more keywords
Neural Network Prediction of Maximum Scour in Bends of Sand-Bed Rivers
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DOI: 10.1061/(asce)hy.1943-7900.0001804
Abstract: AbstractScoured streambeds can undermine revetments built on concave banks in bends of sand-bed rivers formed in alluvium. For this reason, protection work along the banks needs to extend to at lea... read more here.
Keywords: bed rivers; network prediction; bends sand; sand bed ... See more keywords
Interaction Network Prediction and Analysis of Anorexia Nervosa
Sign Up to like & getrecommendations! Published in 2019 at "Iranian Journal of Child Neurology"
DOI: 10.22037/ijcn.v13i3.18999
Abstract: Objectives Anorexia Nervosa (AN) as a mental condition is a common eating disorder among young women. We aimed to shed lights on molecular behavior of this serious disorder in terms of protein interacting profile to… read more here.
Keywords: analysis; hub bottlenecks; anorexia nervosa; network prediction ... See more keywords
Deep Learning Neural Network Prediction Method Improves Proteome Profiling of Vascular Sap of Grapevines during Pierce’s Disease Development
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DOI: 10.3390/biology9090261
Abstract: Plant secretome studies highlight the importance of vascular plant defense proteins against pathogens. Studies on Pierce’s disease of grapevines caused by the xylem-limited bacterium Xylella fastidiosa (Xf) have detected proteins and pathways associated with its… read more here.
Keywords: pierce disease; network prediction; deep learning; disease ... See more keywords