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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
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Related topics
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2 relations
Broader (1)
Arsenazo III
analogs & derivatives
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Deep Belief Network Modeling for Automatic Liver Segmentation
Mubashir Ahmad
,
Danni Ai
,
+5 authors
Jian Yang
IEEE Access
2019
Corpus ID: 67872029
The liver segmentation in CT scan images is a significant step toward the development of a quantitative biomarker for computer…
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2019
2019
Prediction of electricity consumption in cement production: a time-varying delay deep belief network prediction method
Xiaochen Hao
,
Zhaoxu Wang
,
Zeyu Shan
,
Yantao Zhao
Neural computing & applications (Print)
2019
Corpus ID: 46970521
An important energy consumption index in cement production process is electricity consumption whose accurate prediction is of…
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2018
2018
Statistical monitoring of a wastewater treatment plant: A case study.
F. Harrou
,
Abdelkader Dairi
,
Ying Sun
,
M. Senouci
Journal of Environmental Management
2018
Corpus ID: 51619145
Highly Cited
2017
Highly Cited
2017
A deep belief network with PLSR for nonlinear system modeling
J. Qiao
,
Gongming Wang
,
Wenjing Li
,
Xiaoli Li
Neural Networks
2017
Corpus ID: 13663199
2017
2017
Deep learning cognitive radar for micro UAS detection and classification
G. Mendis
,
Jin Wei
,
A. Madanayake
Cognitive Communications for Aerospace…
2017
Corpus ID: 28145269
In this paper, we propose an intelligent cognitive radar system for detecting and classifying the micro unmanned aerial systems…
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2017
2017
Investigation of activation functions in deep belief network
Mian Mian Lau
,
K. Lim
2nd International Conference on Control and…
2017
Corpus ID: 20445896
Deep Belief Network (DBN) is made up of stacked Restricted Boltzmann Machine layers associated with global weight fine-tuning for…
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Review
2016
Review
2016
A brief survey on deep belief networks and introducing a new object oriented toolbox ( DeeBNet V 3 . 0 )
Mohammad Ali Keyvanrad
,
M. Homayounpour
2016
Corpus ID: 18604216
Nowadays, this is very popular to use the deep architectures in machine learning. Deep Belief Networks (DBNs) are deep…
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2012
2012
Deep Attribute Networks
Junyoung Chung
,
Donghoon Lee
,
Youngjoo Seo
,
C. Yoo
ArXiv
2012
Corpus ID: 27013528
Obtaining compact and discriminative features is one of the major challenges in many of the real-world image classification tasks…
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Highly Cited
2010
Highly Cited
2010
Convolutional Deep Belief Networks on CIFAR-10
A. Krizhevsky
2010
Corpus ID: 15295567
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
Real‐time Bayesian anomaly detection in streaming environmental data
D. Hill
,
B. Minsker
,
Eyal Amir
2007
Corpus ID: 15540929
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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