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Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2019.112418
Abstract: Abstract The utilization of wind power is influenced by the fluctuation of the wind, to further strengthen the prediction accuracy of wind speed, two novel hybrid models uniting signal processing, deep learning and ensemble learning…
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Keywords:
wind;
network;
learning;
dbn ... See more keywords
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Published in 2018 at "Journal of Natural Gas Science and Engineering"
DOI: 10.1016/j.jngse.2018.07.019
Abstract: Abstract With trends in urbanization, many underground pipelines have been constructed, forming a huge spider web-like network, and accidents in such systems can lead to disastrous consequences, as observed in the Qingdao and Kaohsiung gas…
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Keywords:
tracing prediction;
dbn;
accident;
catastrophe ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.08.093
Abstract: Abstract One of the major obstacles in using deep belief network (DBN) is the structure design. Numerous studies, both empirically and theoretically, show that choosing suitable structure can improve the performance of DBN. In this…
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Keywords:
information relevance;
dbn;
strategy;
self organizing ... See more keywords
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Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2016.07.014
Abstract: Abstract The perception of vehicle interior sound quality is important for passengers. In this paper, a feature fusion process for extracting the characteristics of vehicle interior noise is studied, and an improved deep belief network…
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Keywords:
vehicle;
dbn;
continuous restricted;
interior sound ... See more keywords
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Published in 2021 at "Environmental science & technology"
DOI: 10.1021/acs.est.1c00392
Abstract: Biomass combustion results in the formation and wide distribution of black carbon (BC) in soils, wherein the dissolved fractions are among the most active components. Although the presence of dissolved black nitrogen (DBN) in BC…
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Keywords:
nitrogen;
black carbon;
dbn;
black nitrogen ... See more keywords
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Published in 2022 at "Human molecular genetics"
DOI: 10.1093/hmg/ddac041
Abstract: α-syntrophin (α-syn) and α-dystrobrevin (α-dbn), two components of the dystrophin-glycoprotein complex, are essential for the maturation and maintenance of the neuromuscular junction (NMJ) and mice deficient in either α-syn or α-dbn exhibit similar synaptic defects.…
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Keywords:
dbn;
dbn syn;
dystrophin glycoprotein;
syn ... See more keywords
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Published in 2021 at "Drug Testing and Analysis"
DOI: 10.1108/dta-10-2020-0239
Abstract: PurposeThis paper tactics to implement the attack detection in medical Internet of things (IoT) devices using improved deep learning architecture for accomplishing the concept bring your own device (BYOD). Here, a simulation-based hospital environment is…
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Keywords:
attack detection;
dbn;
attack;
goa ... See more keywords
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Published in 2022 at "Kybernetes"
DOI: 10.1108/k-08-2020-0512
Abstract: Purpose Up to date development in sentiment analysis has resulted in a symbolic growth in the volume of study, especially on more subjective text types, namely, product or movie reviews. The key difference between these…
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Keywords:
newspaper;
optimization;
dbn;
sentiment analysis ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9208607
Abstract: In order to evaluate the therapeutic effect of music therapy on patients with depression, this paper proposes a CNN-based noise detection method with the combination of HHT and FastICA for noise removal, with good data…
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Keywords:
music;
neural network;
dbn;
music therapy ... See more keywords
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Published in 2018 at "Neurology"
DOI: 10.1212/wnl.0000000000006385
Abstract: Objective To explain (1) why an initial upbeat nystagmus (UBN) converts to a permanent downbeat nystagmus (DBN) in Wernicke encephalopathy (WE) and (2) why convergence and certain vestibular provocative maneuvers may transiently switch UBN to…
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Keywords:
downbeat nystagmus;
wernicke encephalopathy;
dbn;
conversion ... See more keywords