Showing 1,541 - 1,560 results of 1,629 for search '"semantics"', query time: 0.07s Refine Results
  1. 1541

    The New Approach Research on Singing Voice Detection Algorithm Based on Enhanced Reconstruction Residual Network by Lilin Liu

    Published 2022-01-01
    “…Because the high-resolution network has parallel subnetworks with different resolutions, it also has original resolution representations and multiple low-resolution representations, avoiding information loss caused by serial network downsampling effects and repeating multiple feature fusions to generate new semantic representations, allowing for the learning of comprehensive, high-precision, and highly abstract features. …”
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  2. 1542

    English Law Terms: Optimizing Education Process by A. G. Anisimova, M. A. Arkhipova

    Published 2014-08-01
    “…Within a terminological system, it is possible to seta hierarchy of generic and specific terms that can form the so-called semantic field. One of the features demonstrating the systemic links within a terminology is the existence of some typical structural models, according to which terms are coined. …”
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  3. 1543

    Fusion-Decomposition Pan-Sharpening Network With Interactive Learning of Representation Graph by Yunxuan Tang, Xue Wang, Peng Liu, Tong Li

    Published 2025-01-01
    “…These modules construct a representational graph structure for cross-modal feature communication, generating a global representation that guides the cross-modal semantic aggregation of multispectral and panchromatic data. …”
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  4. 1544

    PSYCHOLOGICAL GUIDING OF STUDENTS’ INDIVIDUAL EDUCATIONAL TRAJECTORIES IN VOCATIONAL SCHOOL by Evald F. Zeer, Oksana S. Popova

    Published 2015-05-01
    “…The authors single out and summarize the methodological background necessity of psychological guiding process of the development and implementation of individually-oriented professional education. The semantic value of such guiding implementation developed by the authors performs structural and substantial model of the process. …”
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  5. 1545

    ChatGPT Versus Modest Large Language Models: An Extensive Study on Benefits and Drawbacks for Conversational Search by Guido Rocchietti, Cosimo Rulli, Franco Maria Nardini, Cristina Ioana Muntean, Raffaele Perego, Ophir Frieder

    Published 2025-01-01
    “…Large Language Models (LLMs) are effective in modeling text syntactic and semantic content, making them a strong choice to perform conversational query rewriting. …”
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  6. 1546

    INSPIRE Datahub: A Pan-African Integrated Suite of Services For Harmonising Longitudinal Population Health Data Using OHDSI Tools. by Bhattacharjee, Tathagata, Kiwuwa-Muyingo, Sylvia, Kanjala, Chifundo, Maoyi, Molulaqhooa L., Amadi, David, Ochola, Michael, Kadengye, Damazo, Gregory, Arofan, Kiragga, Agnes, Amelia, Taylor, Greenfield, Jay, Slaymaker, Emma, Todd, Jim, INSPIRE Network8

    Published 2024
    “…The datahub supports the implementation of OMOP CDM across data producers, harmonizing source data semantically with standard vocabularies and structurally conforming to OMOP table structures. …”
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  7. 1547

    The Role of Interpersonal Relationships in Adolescents' Suicidal Behavior: A Qualitative Analysis of Semi-Structured Interviews by N.A. Polskaya, D.K. Yakubovskaya, D.A. Sharova, A.Ya. Basova

    Published 2024-11-01
    “…Content analysis yielded groups of words describing the circumstances of the suicide attempt based on semantic proximity. The following groups emerged (ordered by descending frequency of use): words describing one's psychological state, descriptions of family and relatives, words related to studies, school or college, and descriptions of relationships with peers. …”
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  8. 1548

    Hierarchical graph-based integration network for propaganda detection in textual news articles on social media by Pir Noman Ahmad, Jiequn Guo, Nagwa M. AboElenein, Qazi Mazhar ul Haq, Sadique Ahmad, Abeer D. Algarni, Abdelhamied A. Ateya

    Published 2025-01-01
    “…Second, by employing these guidelines, ADMF standardizes the Tri-Channels 3-S (sequence, semantic, and syntactic) layer, enabling effective propaganda detection through related and unrelated information propagation of news representations into a classifier from the existing ProText, Qprop, and PTC datasets, thereby ensuring its availability to the public. …”
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  9. 1549

    ThermalGS: Dynamic 3D Thermal Reconstruction with Gaussian Splatting by Yuxiang Liu, Xi Chen, Shen Yan, Zeyu Cui, Huaxin Xiao, Yu Liu, Maojun Zhang

    Published 2025-01-01
    “…We introduce feature encoding and embedding networks to integrate semantic and temporal information into the Gaussian primitives, allowing them to capture dynamic thermal radiation characteristics. …”
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  10. 1550

    YOLO-UP: A High-Throughput Pest Detection Model for Dense Cotton Crops Utilizing UAV-Captured Visible Light Imagery by Chenglei Sun, Afizan Bin Azman, Zaiyun Wang, Xiaoxiao Gao, Kai Ding

    Published 2025-01-01
    “…Additionally, the model optimizes the neck design to re-duce semantic discrepancies between feature layers, improving small-target detection, and integrates large-kernel separable convolutions to bolster high-level feature processing. …”
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  11. 1551

    Neural correlates of the non-optimal price: an MEG/EEG study by Aleksei Gorin, Elizaveta Kuznetsova, Andrew Kislov, Egor Levchenko, Vasily Klucharev, Victoria Moiseeva, Anna Yurchenko, Alexander Luzhin, Natalia Galkina, Anna N. Shestakova

    Published 2025-01-01
    “…Our results demonstrate that both the brain sources and the timing of the price-related M400 response differed from those of the standard M400 evoked by semantically incongruent words.DiscussionOverall, our results suggest that the N400-like response can serve as a neural marker of price-product incongruity, with potential applications in consumer research.…”
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  12. 1552

    Unified Visual-Aware Representations for Data Analytics by Ladislav Peska, Ivana Sixtova, David Hoksza, David Bernhauer, Jakub Lokoc, Tomas Skopal

    Published 2025-01-01
    “…The desired property of the visualizations is the ability to visually encode the semantic features of the original data. Hence, processing of visualizations (images) by generic deep learning models results in deep feature vectors that could be uniformly used in standard data retrieval/analytics tasks. …”
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  13. 1553

    If Music is Ongoing Experience, What Might Music Theory Be? . A Suggestion from the Drastic by Christopher F. Hasty

    Published 2010-01-01
    “…If we take experience as essentially predetermined by the musical work or, in cognitivist information processing terms, by rule-governed mechanisms for manipulating internal representations (be these rules syntactic or semantic) we shall not be able to account for the creativity of music and the production of novel meaning. …”
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  14. 1554

    Empowerment of volunteer nursing service providers during disasters: A qualitative study by Mostafa Roshanravan, Shandiz Moslehi, Hesam Seyedin

    Published 2025-01-01
    “…After each interview, the text was entered into MAXQDA software version 2020, and semantic units were identified and coded, with codes categorized based on their similarities. …”
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  15. 1555

    SwinClustering: a new paradigm for landscape character assessment through visual segmentation by Tingting Huang, Tingting Huang, Bo Huang, Bo Huang, Sha Li, Haiyue Zhao, Xin Yang, Jianning Zhu

    Published 2025-02-01
    “…This approach employs a visual segmentation method to achieve multi-scale clustering, utilizing nine key attributes of landscape elements: altitude, aspect, geology, landcover, landform, relief, slope, soil, and vegetation. By extracting semantic features through the GIS-aware Swin Transformer backbone network and leveraging the Feature Pyramid Decoder for segmentation clustering, SwinClustering offers a comprehensive analysis of landscape characteristics. …”
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  16. 1556

    Evaluating the feasibility of automating dataset retrieval for biodiversity monitoring by Alexandre Fuster-Calvo, Sarah Valentin, William C. Tamayo, Dominique Gravel

    Published 2025-01-01
    “…Additionally, we applied the same appraoch on a scientific literature source, using data from Semantic Scholar for reference. Our evaluation centers on the database utilized by a national biodiversity monitoring system in Quebec, Canada. …”
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  17. 1557

    LOGINIŲ ŽINOJIMO PAGRINDŲ ANALIZĖ G. FREGE’S FILOSOFIJOJE by Nijolė Aukštuolytė

    Published 2000-01-01
    “…By relating the sense and the meaning to the sentence structure Frege directs logical analysis towards semantic problems. These G. Frege’s ideas influenced further attempts of philosophers to study the potentialities of our cognition within the range of meaningful language. …”
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  18. 1558

    Modern trends and conceptual approaches to understanding the essence of the concept of “national security” by Yu. O. Zahumenna

    Published 2022-12-01
    “…In the context of existing scientific approaches, modern trends that dictate the semantic load of the concept of “national security” have been considered. …”
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  19. 1559

    Development of a Brief Assessment Tool to Evaluate Early Low Nutrition Risk in Community Elderly: Creation of the Tool and Examination of Its Reliability and Criterion-related Vali... by Shoji Shinkai, Miki Narita, Hiroshi Murayama, Akihiko Kitamura, Yoshinori Fujiwara

    Published 2025-02-01
    “…Results: Finally, we obtained a semantic coherence of four factors (named health beliefs, dietary status, physical activity, and food-related quality of life) totaling 13 items; confirmatory factor analysis of the four-factor solution yielded good model fit values, χ2 (59) = 275.4 (P < 0.001), comparative fit index = 0.930, and root mean square error of approximation = 0.056. …”
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  20. 1560

    Estimating the Severity of Oral Lesions Via Analysis of Cone Beam Computed Tomography Reports: A Proposed Deep Learning Model by Sare Mahdavifar, Seyed Mostafa Fakhrahmad, Elham Ansarifard

    Published 2025-02-01
    “…Unlike traditional models which usually use a simple collection of words, the proposed deep model uses words embedded in dense vector representations, which empowers it to effectively capture semantic similarities. Results: The results indicated that the proposed model outperformed its counterparts in terms of precision, recall, and F1 criteria. …”
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