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Arsenazo-DBN

Known as: 3-((2-arsonophenyl)azo)-6-((2,6-dibromo-4-nitrophenyl)azo)-4,5-dihydroxy-2,7-naphthalenedisulfonic acid 
National Institutes of Health

Papers overview

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2019
2019
The liver segmentation in CT scan images is a significant step toward the development of a quantitative biomarker for computer… 
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2017
2017
Deep Belief Network (DBN) is made up of stacked Restricted Boltzmann Machine layers associated with global weight fine-tuning for… 
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2017
2017
The vibration signal of hydraulic system contains abundant state information, so vibration testing technology is an effective way… 
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2017
2017
In this paper, we propose an intelligent cognitive radar system for detecting and classifying the micro unmanned aerial systems… 
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Review
2016
Review
2016
Nowadays, this is very popular to use the deep architectures in machine learning. Deep Belief Networks (DBNs) are deep… 
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Highly Cited
2010
Highly Cited
2010
We describe how to train a two-layer convolutional Deep Belief Network (DBN) on the 1.6 million tiny images dataset. When… 
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Highly Cited
2007
Highly Cited
2007
[1] With large volumes of data arriving in near real time from environmental sensors, there is a need for automated detection of… 
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2000
2000
approach of design at first glance. But there is just as in design the possibility to deal with larger constructs abstractly…