Zobrazeno 1 - 10
of 1 859
pro vyhledávání: '"Multi feature fusion"'
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 5, Pp 65-78 (2024)
Objectives To overcome the challenges of tracking small targets in unmanned surface vehicle vision under the conditions of low feature resolution and similar environmental information, a multi-feature fusion-based continuous convolution operator trac
Externí odkaz:
https://doaj.org/article/089de07cfe5449c486b7290c3b94fb95
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 7, Pp 115-122 (2024)
The existing methods for recognizing violations in the underground belt conveyor area of coal mines suffer from insufficient feature extraction and difficulty in considering time differences in behavior. It results in low accuracy in recognizing viol
Externí odkaz:
https://doaj.org/article/3470b6d9585149a5adc8b8bc8eca9d7b
Autor:
Yao Zhimin
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 299-302 (2024)
In the field of traditional landscape painting and art image restoration, traditional restoration methods have gradually revealed limitations with the development of society and technological progress. In order to enhance the restoration effects of C
Externí odkaz:
https://doaj.org/article/998ea34e8fb345688bc67f8eb415f426
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 5, Pp 929-936 (2024)
Purposes Leakage detection in underground pipelines such as prestressed concrete cylinder pipes is a crucial aspect of urban infrastructure management and maintenance. In this study, an innovative magnetic anomaly multi-feature fusion network (MMF) i
Externí odkaz:
https://doaj.org/article/c2ae057c98314a4681ddf0b8e58efccb
Publikováno v:
Current Oncology, Vol 31, Iss 9, Pp 5057-5079 (2024)
Multi-task learning (MTL) methods are widely applied in breast imaging for lesion area perception and classification to assist in breast cancer diagnosis and personalized treatment. A typical paradigm of MTL is the shared-backbone network architectur
Externí odkaz:
https://doaj.org/article/71f8ec0f0e754779b6ce92ae59f216dc
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 4, Pp 751-758 (2024)
Purposes The prediction of drug-target interactions plays a crucial role in drug relocation and drug development. Methods A multi-feature fusion algorithm is proposed based on the combination of Redundancy-Correlation and Interaction (RCI), and the p
Externí odkaz:
https://doaj.org/article/8439cc9e80414c2abeb933ef1e0384df
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
Road detection in remote sensing (RS) images plays a critical role in applications ranging from urban planning to autonomous navigation systems. However, accurate road extraction remains a challenging task due to the presence of textual-similar objec
Externí odkaz:
https://doaj.org/article/9ddb479fd357414a836ae6eed7d29d9c
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6305-6318 (2024)
Abstract Chinese Named Entity Recognition (CNER) focuses on precisely identifying predefined structural categories in unstructured Chinese text. Most existing CNER models do not consider the unique glyph and pinyin features of Chinese characters, but
Externí odkaz:
https://doaj.org/article/f8f34243be5441abaa7d37c0e67380c9
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 2, Pp 268-276 (2024)
UAV (Unmanned Aerial Vehicle) infrared object detection is crucial in pedestrian monitoring and traffic dispatch, which detects and locates objects in infrared images. In light of issues such as unnoticeable texture features and limited resolution of
Externí odkaz:
https://doaj.org/article/749062adbdab44ddab62b20d3eb3721f
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 136, Iss , Pp 104308- (2025)
Hyperspectral image (HSI) classification based on deep learning has demonstrated promising performance. In general, using patch-wise samples helps to extract the spatial relationship between pixels and local contextual information. However, the prese
Externí odkaz:
https://doaj.org/article/70fb564e8a3240658ed3871d3c018e7f