Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Naiguang Zhang"'
Publikováno v:
Energy Strategy Reviews, Vol 48, Iss , Pp 101111- (2023)
The smart grid (SG) research has continued unabated; however, some challenges, such as stability and security, cause us to focus on sustainable SG, which benefits society. Sustainable SG is complicated and covers many topics that should be summarized
Externí odkaz:
https://doaj.org/article/81ac040ad1db42dda4ae603dd85ef7c9
Publikováno v:
Pattern Recognition Letters. 138:556-562
In recent years, Convolutional Neural Networks (CNNs) have shown promising performance on image hashing retrieval. However, due to the information-discarded nature of CNN, some meaningful information can not be further extracted into a deep level and
Publikováno v:
MMAsia
Recent convolutional neural network (CNNs) have shown promising performance on image retrieval due to the powerful feature extraction capability. However, the potential relations of feature maps are not effectively exploited in the before CNNs, resul
Publikováno v:
MMAsia
Deep convolutional neural networks (CNNs) based image super-resolution approaches have reached significant success in recent years. However, due to the information-discarded nature of CNN, they inevitably suffer from information loss during the featu
Publikováno v:
International Journal of Future Generation Communication and Networking. 9:1-16
Emergency broadcasting is of importance method to alert people when disaster happens, but the development of network is slow in Chinese rural areas. So it is necessary to propose an emergency broadcasting solution for Chinese rural areas based on the
Publikováno v:
ACM TUR-C
Image retrieval based on deep convolutional neural networks (CNNs) has achieved promising performance in recent years. However, there are many low-resolution images in real-world retrieval tasks, and they would result in inaccurate hash representatio
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030341121
ICIG (3)
ICIG (3)
In image retrieval, deep learning based hashing approaches have achieved promising performance in recent years. However, they are usually trained on a specific resolution, so it will cause unpleasant retrieval results with low-resolution input. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e521ba0f9d9d286d461888c0bed362a5
https://doi.org/10.1007/978-3-030-34113-8_39
https://doi.org/10.1007/978-3-030-34113-8_39
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030341121
ICIG (3)
ICIG (3)
In large-scale image retrieval tasks, hashing methods based on deep convolutional neural networks (CNNs) play an important role due to elaborate semantic feature representation. However, they usually progressively discard information during feature t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d934c11b7bcb56f8be34db88925ec2c4
https://doi.org/10.1007/978-3-030-34113-8_34
https://doi.org/10.1007/978-3-030-34113-8_34
Publikováno v:
BigMM
Semantic segmentation is a long standing challenging issue in computer vision. In this paper, a novel method named SegGAN is proposed, in which a pre-trained deep semantic segmentation network is fitted into a generative adversarial framework for com
Publikováno v:
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS).
Digital TV broadcasting network, including digital cable TV, digital territorial TV, and digital satellite TV, has been built and spread out nationwide. Emergency message can be displayed in various forms with digital TV broadcasting network, such as