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Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04899-3
Abstract: Traffic sign recognition and lane detection play an important role in traffic flow planning, avoiding traffic accidents, and alleviating traffic chaos. At present, the traffic intelligent recognition rate still needs to be improved. In view…
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Keywords:
traffic;
system;
network algorithm;
neural network ... See more keywords
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Published in 2020 at "Sleep"
DOI: 10.1093/sleep/zsaa056.437
Abstract: Polysomnography (level 1) is an important test for evaluating sleep status or disorder. In general, measured raw data of polysomnography is manually scored by sleep expert. However, manual scoring is a time-consuming and labor-intensive work.…
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Keywords:
sleep stage;
network algorithm;
neural network;
stage ... See more keywords
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Published in 2022 at "Physical review letters"
DOI: 10.1103/physrevlett.130.130601
Abstract: Strongly correlated layered 2D systems are of central importance in condensed matter physics, but their numerical study is very challenging. Motivated by the enormous successes of tensor networks for 1D and 2D systems, we develop…
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Keywords:
tensor network;
layered systems;
efficient tensor;
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3006097
Abstract: As an algorithm with excellent performance, convolutional neural network has been widely used in the field of image processing and achieved good results by relying on its own local receptive fields, weight sharing, pooling, and…
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Keywords:
neural network;
image;
network algorithm;
convolutional neural ... See more keywords
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Published in 2018 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2018.2814012
Abstract: We present a localized neural network algorithm for water depth estimation from optical remote sensing images. Our new model is called a locally adaptive back-propagation neural network (LABPNN). In an LABPNN, the neural networks were…
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Keywords:
localized neural;
network;
network algorithm;
neural network ... See more keywords
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Published in 2021 at "Optical Engineering"
DOI: 10.1117/1.oe.60.3.037103
Abstract: Abstract. We propose a method that uses the back propagation (BP) neural network algorithm to optimize the design of the multipump Raman fiber amplifier. We determine the optimal training model by examining the number of…
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Keywords:
neural network;
propagation neural;
raman;
network algorithm ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1482250
Abstract: Clustering algorithm is a statistical method to study sample classification. With the rapid development of science and technology, people have higher and higher requirements for data classification, so there are more and more researches on…
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Keywords:
neural network;
network;
improved som;
network algorithm ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5888299
Abstract: With the deepening and improvement of the contemporary English educating reform, the lookup on the satisfactory English training has attracted greater and extra attention. The key to enhance the English training is to enhance good…
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Keywords:
neural network;
network;
network algorithm;
multimodal neural ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6393877
Abstract: In order to study a BP neural network algorithm for air particulate matter data monitoring, firstly, the monitoring data collected by particle sensor using the light scattering method are proposed. Then, based on the improved…
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Keywords:
neural network;
particulate matter;
air particulate;
network algorithm ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6709464
Abstract: The nanoindentation technique is employed to characterize the behaviors of biomaterials. Nevertheless, there is a lack of development of a miniaturized precise positioner for in situ nanoindentation. Besides, modeling behaviors of the positioner are restricted…
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Keywords:
dof stage;
neural network;
stage;
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Published in 2022 at "BMC Bioinformatics"
DOI: 10.1186/s12859-021-04250-0
Abstract: Background Alkaline earth metal ions are important protein binding ligands in human body, and it is of great significance to predict their binding residues. Results In this paper, Mg2+ and Ca2+ ligands are taken as…
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Keywords:
deep neural;
ligand binding;
binding sites;
network algorithm ... See more keywords