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… Expand
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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… Expand
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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… Expand
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2017
2017
A time series prediction model is proposed based on combination of the long-short time memory neural network model and the… Expand
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2017
2017
Nonlinear system modeling plays an important role in practical engineering, and deep learning-based deep belief network (DBN) is… Expand
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2012
2012
Obtaining compact and discriminative features is one of the major challenges in many of the real-world image classification tasks… Expand
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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… Expand
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2009
2009
[1] With large volumes of data arriving in near real time from environmental sensors, there is a need for automated detection of… Expand
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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… Expand
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1998
1998
From the Departments of Physiology & Biophysics, and Microbiology and Molecular Genetics, University of California, Irvine… Expand
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