Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jin, P."'
Publikováno v:
IEEE Access, Vol 12, Pp 101313-101324 (2024)
Screen summarization aims to generate concise textual descriptions that communicate the crucial contents and functionalities of a mobile user interface (UI) screen. A UI screen consists of objects with a hierarchical structure that are tightly interc
Externí odkaz:
https://doaj.org/article/0b833eef58d84477b09fa7619903073f
Publikováno v:
IEEE Access, Vol 12, Pp 24544-24553 (2024)
Non-intrusive load identification plays a crucial role in developing a green and low-carbon energy supply and demand mechanism. Among the various load identification technologies, the low-frequency electrical signal load identification stands out due
Externí odkaz:
https://doaj.org/article/df100d2924e14479a3f20ac201b6d6ad
Publikováno v:
IEEE Access, Vol 11, Pp 6000-6009 (2023)
Due to the complex background and biodiversity of underwater biological images makes the identification of marine organisms difficult. To solve these above problems, we propose a dual attention mechanism deep neural network for underwater biological
Externí odkaz:
https://doaj.org/article/9cae4f4e61a44cccbcddd1e2d507be84
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2126-2136 (2022)
The attention mechanism of the Transformer has the advantage of extracting feature correlation in the long-sequence data and visualizing the model. As time-series data, the spatial and temporal dependencies of the EEG signals between the time points
Externí odkaz:
https://doaj.org/article/a7f46af7c2054447bde04cb883439e7b
Publikováno v:
IEEE Access, Vol 10, Pp 31455-31465 (2022)
Unmanned Aerial Vehicle (UAV) has been widely applied for aerial object detection. Recently, this issue has become a research hot spot in the field of computer vision. Currently, the performance of conventional methods to detect small objects has rea
Externí odkaz:
https://doaj.org/article/b3504221a7c943c291a4c587051b1ffd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3853-3867 (2022)
Accurate prediction of mesoscale eddy trajectories requires efficient models with large-size available data instances to capture the main eddy characteristics. However, there is a lack of salient attention mechanisms that can recognize the demand of
Externí odkaz:
https://doaj.org/article/2bbaf8d327164bd8bfc08d87664ceade
Publikováno v:
IEEE Access, Vol 9, Pp 15992-16003 (2021)
There are lots of image data in the field of remote sensing, most of which have low-resolution due to the limited image sensor. The super-resolution method can effectively restore the low-resolution image to the high-resolution image. However, the ex
Externí odkaz:
https://doaj.org/article/905900650ce5484abf1a677ab81e885b
Publikováno v:
IEEE Access, Vol 9, Pp 25278-25290 (2021)
Images are an important carrier for emotional expression. Human can understand emotions in image easily and quickly, whereas it is a very challenging task for machines to extract accurate emotions. In this study, we propose a novel spatial and channe
Externí odkaz:
https://doaj.org/article/431e0a05c47c4ea8ba1c9431be605507
Publikováno v:
IEEE Access, Vol 9, Pp 99781-99793 (2021)
In recent industrial applications, machine learning technology is proving useful in preventing equipment failures in advance through early failure diagnosis. In particular, we show that different domains can be linked through adversarial learning wit
Externí odkaz:
https://doaj.org/article/37f2675bb2ec4dbea5f9b36569f28839
Publikováno v:
IEEE Access, Vol 8, Pp 23522-23530 (2020)
In recent years, with the rapid development of Internet technology, online shopping has become a mainstream way for users to purchase and consume. Sentiment analysis of a large number of user reviews on e-commerce platforms can effectively improve us
Externí odkaz:
https://doaj.org/article/deb832d5209444b9984ee7eb08e3a9a0