Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Youli Dong"'
Publikováno v:
Energies, Vol 11, Iss 5, p 1035 (2018)
In this study, a novel method based on μ analysis is presented to search for the upper/lower bounds of uncertainty parameters in microgrids (MGs). It is well known that uncertainty parameters have important effects in a MG, and they may cause instab
Externí odkaz:
https://doaj.org/article/fbbc16fbf81d4d58b847ed3a72099f24
Publikováno v:
Applied Intelligence. 51:3174-3188
Multi-domain sentiment classification is a challenging topic in natural language processing, where data from multiple domains are applied to improve the performance of classification. Recently, it has been demonstrated that attention neural networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de51740b0b9555b53093a7f8a87b7e78
https://doi.org/10.1007/s10489-020-02021-7
https://doi.org/10.1007/s10489-020-02021-7
Publikováno v:
IET Generation, Transmission & Distribution. 14:900-909
In this study, the authors propose a multi-task learning with deconvolution network (MTL-DN) method for the multi-label classification of multiple power quality disturbances (MPQDs). First, the labels of MPQDs are assigned to three groups correspondi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c124cfa9d29522cd4e8eb9407379ae75
https://doi.org/10.1049/iet-gtd.2019.0812
https://doi.org/10.1049/iet-gtd.2019.0812
Publikováno v:
2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP).
Warm restart strategies are widely used in gradient-free optimization to deal with multi-model functions. In this paper, we present a novel warm restart technique by step cosine function in stochastic gradient descent method that used to train a deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::779719ae8f546067b931ea882823436d
https://doi.org/10.1109/icsip49896.2020.9339360
https://doi.org/10.1109/icsip49896.2020.9339360
Publikováno v:
Proceedings of the 2020 2nd International Conference on Intelligent Medicine and Image Processing.
Pathological lymph node segmentation plays an important role in clinical practice. Yet it is still a challenging problem owing to low contrast to surrounding structures. In this paper, we take a deep learning based approach for pathological lymph nod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b112d971174d161d4812f569b61e9cf
https://doi.org/10.1145/3399637.3399651
https://doi.org/10.1145/3399637.3399651
Publikováno v:
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence.
Text classification is a classic topic in natural language processing. In this study, we propose an attention model with multi-layer supervision for this task. In our model, the previous context vector is directly used as attention to select the requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ffa2c1a90cad800f3cf2f634713ba5f
https://doi.org/10.1145/3395260.3395290
https://doi.org/10.1145/3395260.3395290
Publikováno v:
MIPPR 2019: Parallel Processing of Images and Optimization Techniques; and Medical Imaging.
Recent progress in deep learning, especially deep convolutional neural networks (DCNNs), has led to significant improvement in natural image classification. However, research is still ongoing in the domain of medical image analysis in part due to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09a476ad108bc5343717e39b3b7a62e0
https://doi.org/10.1117/12.2537004
https://doi.org/10.1117/12.2537004
Publikováno v:
2019 4th International Conference on Power and Renewable Energy (ICPRE).
In this paper, we proposed a multi-task convolution neural network (MT-CNN) to realize the multi-label classification of multiple power quality disturbances (MPQDs). According to the characteristics of PQD signals, the multiple labels of MPQDs are as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cd00aa64b459f6182590bc9de7f48e9
https://doi.org/10.1109/icpre48497.2019.9034702
https://doi.org/10.1109/icpre48497.2019.9034702
Publikováno v:
Energies, Vol 11, Iss 5, p 1035 (2018)
Energies; Volume 11; Issue 5; Pages: 1035
Energies; Volume 11; Issue 5; Pages: 1035
In this study, a novel method based on μ analysis is presented to search for the upper/lower bounds of uncertainty parameters in microgrids (MGs). It is well known that uncertainty parameters have important effects in a MG, and they may cause instab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8aa83530a8c7a052f8c81e644519d822
http://www.mdpi.com/1996-1073/11/5/1035
http://www.mdpi.com/1996-1073/11/5/1035
Publikováno v:
2011 International Conference on Remote Sensing, Environment and Transportation Engineering.
The skew bridge of a blast furnace has been used over 40 years, which was indispensable to assess safety and reliability. In this paper, through the investigation, detection and calculation,analysis and performance testing of the skew bridge of the b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::285ef74e663b8b62cca9a91eb07acad3
https://doi.org/10.1109/rsete.2011.5964823
https://doi.org/10.1109/rsete.2011.5964823