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SAR remote sensing image segmentation based on feature enhancement.
Neural Netw
January 2025
School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China.
Synthetic aperture radar (SAR) images are crucial in remote sensing due to their ability to capture high-quality images regardless of environmental conditions. Though it has been studied for years, the following aspects still limit its further improvement. (1) Due to the unique imaging mechanism of SAR images, the influence of speckle noise cannot be avoided.
View Article and Find Full Text PDFHyperspectral images (HSI) have been extensively applied in a multitude of domains, due to their combined spatial and spectral characteristics along with a wealth of spectral bands. The ingenious combination of spatial and spectral information in HSI classification has remained a central research area for an extended period. In the classification process, it is essential to choose an expanded neighborhood window for learning.
View Article and Find Full Text PDFAspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network.
Sci Rep
January 2025
Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing, 100081, China.
Aspect Category Sentiment Analysis (ACSA) is a fine-grained sentiment analysis task aimed at predicting the sentiment polarity associated with aspect categories within a sentence.Most existing ACSA methods are based on a given aspect category to locate sentiment words related to it. When irrelevant sentiment words have semantic meaning for the given aspect category, it may cause the problem that sentiment words cannot be matched with aspect categories.
View Article and Find Full Text PDFTyphoon localization detection algorithm based on TGE-YOLO.
Sci Rep
January 2025
College of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang, 524088, China.
To address the problems of complex cloud features in satellite cloud maps, inaccurate typhoon localization, and poor target detection accuracy, this paper proposes a new typhoon localization algorithm, named TGE-YOLO. It is based on the YOLOv8n model with excellent high-low feature fusion capability and innovatively achieves the organic combination of feature fusion, computational efficiency, and localization accuracy. Firstly, the TFAM_Concat module is creatively designed in the neck network, which comprehensively utilizes the detailed information of shallow features and the semantic information of deeper features, enhancing the fusion ability of features at each layer.
View Article and Find Full Text PDFNursing as a Functional System of Society. A Systems Theoretical Perspective on Nursing and the Research Object of Nursing Science.
Nurs Philos
January 2025
State Examination in Vocational Education, Vocational Specialization: Nursing and Health Science; Second Subject: Social Studies. (Germany, Bavaria; comp. Master Degree); Scientific Assistant at Medical School Berlin, Berlin, Germany.
The transformation of societies' age structures has intensified the need for nursing care, especially in economically developed regions of the world. This will necessitate societal decisions that determine how care needs are met in the long term. This article offers a sociological perspective on nursing care using Luhmann's systems theory.
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