Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jinxin Shao"'
Publikováno v:
Computational Urban Science, Vol 2, Iss 1, Pp 1-21 (2022)
Abstract In modern era, the maintenance of public infrastructure often takes up a large share of financial budget for a city. The management of these urban assets is supported by a frequently updated inventory reflecting facility conditions. Traditio
Externí odkaz:
https://doaj.org/article/0e26fdce3f61472c9cb7e78af21755ec
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12251 (2023)
Underwater image stitching is a technique employed to seamlessly merge images with overlapping regions, creating a coherent underwater panorama. In recent years, extensive research efforts have been devoted to advancing image stitching methodologies
Externí odkaz:
https://doaj.org/article/2b123680736f4572a7dff67aff449328
Publikováno v:
Sensors, Vol 17, Iss 9, p 2144 (2017)
This paper presents a new hydrogen sensor based on a single mode–no core–single mode (SNS) fiber interferometer structure. The surface of the no core fiber (NCF) was coated by Pd/WO3 film to detect the variation of hydrogen concentration. If the
Externí odkaz:
https://doaj.org/article/1eb10385ebe7416da079c988789b433f
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-13
To address the problem that single-channel neural networks cannot fully extract text semantic features in traditional user portrait construction methods, this paper proposes a dual-channel user portrait model based on DPCNN-BIGRU and attention mechan
Autor:
Yuting Kong, Yurong Qian, Fuxiang Tan, Lu Bai, Jinxin Shao, Tinghuai Ma, Sergei Nikolayevich Tereshchenko
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 43:6027-6045
Data clustering has been applied and developed in all walks of life, which can provide convenience for enterprise service optimization. However, when the original data to be analyzed contains users’ personal privacy information, the clustering anal
Publikováno v:
VCIP
Generative models have been successfully used for anomaly detection, which however need a large number of parameters and computation overheads, especially when training spatial and temporal networks in the same framework. In this paper, we introduce
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783030606381
PRCV (2)
PRCV (2)
Recently, Convolution Neural Networks (CNNs) have achieved great success in computer vision. To further boost the performance, the depth of the backbone network is continuously increased, which improves the capacity of feature learning but also bring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2bea76565c8164ae59efe6917e2c19d
https://doi.org/10.1007/978-3-030-60639-8_33
https://doi.org/10.1007/978-3-030-60639-8_33
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 17, Iss 9, p 2144 (2017)
Sensors; Volume 17; Issue 9; Pages: 2144
Sensors, Vol 17, Iss 9, p 2144 (2017)
Sensors; Volume 17; Issue 9; Pages: 2144
This paper presents a new hydrogen sensor based on a single mode-no core-single mode (SNS) fiber interferometer structure. The surface of the no core fiber (NCF) was coated by Pd/WO₃ film to detect the variation of hydrogen concentration. If the hy
Publikováno v:
2016 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).
In this paper, we present an automatic system of mine like object detection and recognition for sonar videos. This system is implemented with two main methods. One is the object detection and segmentation with intrackability, another is object recogn
Publikováno v:
Science in China Series F: Information Sciences. 51:1125-1137
A method of cooperative localization for multi-robot in an unknown environment is described. They share information and perform localization by using relative observations and necessary communication. At initial time, robots do not know their positio