Showing 161 - 180 results of 1,629 for search '"semantics"', query time: 0.06s Refine Results
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    Semantic Integration of Sensor Data and Disaster Management Systems: The Emergency Archetype Approach by Leonardo Lezcano, Leopoldo Santos, Elena García-Barriocanal

    Published 2013-05-01
    “…The Semantic Sensor Web (SSW) allows emergency response management (ERM) systems to consume sensor data and improve response time and effectiveness. …”
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    The problem of violation of the system implementation of the psycho-semantic and psycholinguistic requirements for brand name by I. Yu. Aleksandrova

    Published 2019-04-01
    “…As a result of the analysis of the primary data, the author reconstructs the associative field of the diagnosed word-name, the specific semantic content of which proves the need for a preliminary check of the communicative efficiency of the brand name. …”
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    HDSA-Net: Haze Density and Semantic Awareness Network for Hyperspectral Image Dehazing by Qianru Liu, Tiecheng Song, Anyong Qin, Yin Liu, Feng Yang, Chenqiang Gao

    Published 2025-01-01
    “…Moreover, we design a Semantic information Extraction Block (SEB) based on the pretrained Segment Anything Model (SAM), followed by several Semantic information Perception Blocks (SPBs), to provide semantic guidance for HSI dehazing. …”
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  8. 168

    Semantic Detection of Vehicle Violation Video Based on Computer 3D Vision by Yue Dai

    Published 2022-01-01
    “…In order to study the semantic detection accuracy of 3D vehicle accident video, an accident detection method combining 2D image and 3D information was proposed. …”
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  9. 169

    Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images by N.S. Demin, N.Y. Ilyasova, R.A. Paringer, D.V. Kirsh

    Published 2023-10-01
    “…The classic approach to semantic segmentation on the basis of textural features is compared to the proposed approach based on neural networks. …”
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    Study on Semantic Contrast Evaluation Based on Vector and Raster Data Patch Generalization by Jun Yang, Yuechen Li, Jianchao Xi, Chuang Li, Fuding Xie

    Published 2014-01-01
    “…We used buffer superposition, Delaunay triangulation skeleton line, and other methods to achieve the aggregation and amalgamation of the vector data, adopted the method of combining mathematical morphology and cellular automata to achieve the patch generalization of the raster data, and selected the two evaluation elements (namely, semantic consistency and semantic completeness) from the semantic perspective to conduct the contrast evaluation study on the generalization results from the two levels, respectively, namely, land type and map. …”
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    A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association by Xin Wang, Wanli Zuo, Ying Wang

    Published 2013-01-01
    “…In this paper, we propose a novel approach to word sense disambiguation based on topical and semantic association. For a given document, supposing that its topic category is accurately discriminated, the correct sense of the ambiguous term is identified through the corresponding topic and semantic contexts. …”
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  14. 174

    Advancing semantic segmentation: Enhanced UNet algorithm with attention mechanism and deformable convolution. by Effat Sahragard, Hassan Farsi, Sajad Mohamadzadeh

    Published 2025-01-01
    “…This paper presents a novel method for improving semantic segmentation performance in computer vision tasks. …”
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    Global-Mapping-Consistency-Constrained Visual-Semantic Embedding for Interpreting Autonomous Perception Models by Chi Zhang, Meng Yuan, Xiaoning Ma, Ping Wei, Yuanqi Su, Li Li, Yuehu Liu

    Published 2024-01-01
    “…By jointly iteratively solving the learning of latent concept representation for test samples and the regression of latent concept-generalization performance, the mapping relationship between deep representation, semantic attribute annotation, and generalization performance of test samples is established to predict the degree of influence of semantic attributes on visual perception generalization performance. …”
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