Showing 10,701 - 10,720 results of 32,195 for search '(equalization OR visualization) methods', query time: 0.34s Refine Results
  1. 10701

    Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis by Hafiz Muhammad Raza Ur Rehman, Mahpara Saleem, Muhammad Zeeshan Jhandir, Eduardo Silva Alvarado, Helena Garay, Imran Ashraf

    Published 2025-05-01
    “…A thorough examination of hate speech detection methods in a variety of settings, such as code-mixed, multilingual, visual, audio, and textual scenarios, is presented in this paper. …”
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  2. 10702

    Ultrasonographic assessment of optic nerve: does it help in lupus-induced optic neuropathy? by Amira Elsonbaty, Abdallah El-Sayed Allam, Doaa M Mahmoud, Sara Alattar, Ahmed Hosny Shaaban

    Published 2025-01-01
    “…An ophthalmologist examined all lupus patients and visual evoked potential (VEP) was performed to help evaluate the rule of NMUS in lupus-induced optic neuropathy.Results In this study, we include 140 subjects, 65 lupus patients and 75 controls. …”
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  3. 10703

    Pansharpening Applications in Ecological and Environmental Monitoring Using an Attention Mechanism-Based Dual-Stream Cross-Modality Fusion Network by Bingru Li, Qingping Li, Haoran Yang, Xiaomin Yang

    Published 2025-04-01
    “…Through extensive experiments, the DCMFN demonstrates superior performance over existing methods on three remote sensing datasets, excelling in both objective evaluation metrics and visual quality.…”
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  4. 10704

    Enhancing the Recognition of Collinear Building Patterns by Shape Cognition Based on Graph Neural Networks by Fubing Zhang, Qun Sun, Wenjun Huang, Youneng Su, Jingzhen Ma, Ruixing Xing

    Published 2024-12-01
    “…Based on the CPR model, false recognitions can be avoided, and recognition results similar to those of visual cognition can be obtained. Compared with the comparative methods, both models have significant advantages in terms of statistical results and implementation.…”
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  5. 10705

    Exploring Attributions in Convolutional Neural Networks for Cow Identification by Dimitar Tanchev, Alexander Marazov, Gergana Balieva, Ivanka Lazarova, Ralitsa Rankova

    Published 2025-03-01
    “…Face recognition and identification is a method that is well established in traffic monitoring, security, human biodata analysis, etc. …”
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  6. 10706

    Comparison of different treatment options in submacular haemorrhage by Anna Hillenmayer, Christian M. Wertheimer, Marlene Hillenmayer, Laura D. Strehle, Lennart M. Hartmann, Efstathios Vounotrypidis, Armin Wolf

    Published 2024-12-01
    “…The aim of our study was to evaluate the effectiveness of 5 surgical treatment modalities in terms of visual prognosis and success rate. Methods This retrospective study included 201 patients with SMH. …”
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  7. 10707
  8. 10708
  9. 10709

    REAL STATE MEDIATION: CHALLENGES AND PERSPECTIVES by Francisco Gorjón-Gómez

    Published 2024-09-01
    “…We present to the MSC community a first approach to the scope of real estate mediation, with an emphasis on real estate arbitration, where we observe the various areas of opportunity that arise in this area of ​​conflict resolution methods, and how they impact a sector of broad economic influence and great social resonance. …”
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  10. 10710

    The importance of different preoperative factors in the prognosis of functional results of uncomplicated surgery for idiopathic epimacular membranes by S. G. Toropygin, S. V. Nazarova, A. N. Maslov

    Published 2020-03-01
    “…At the same time, the baseline visual acuity and central retinal thickness had the biggest impact on the visual acuity achieved by surgery. …”
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  11. 10711

    Emotion Detection and Student Engagement in Distance Learning During Containment Due to the COVID-19 by Benyoussef Abdellaoui, Ahmed Remaida, Zineb Sabri, Younes EL BOUZEKRI EL IDRISSI, Aniss Moumen

    Published 2024-04-01
    “…In this research, a mechanism has been developed to estimate student engagement levels and emotions. Visual data from recorded videos of students participating in learning courses are utilized due to the availability of multiple methods for measuring student engagement levels. …”
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  12. 10712

    Differentiating atypical parkinsonian syndromes with hyperbolic few-shot contrastive learning by Won June Choi, Jin HwangBo, Quan Anh Duong, Jae-Hyeok Lee, Jin Kyu Gahm

    Published 2024-12-01
    “…Experimental results demonstrate significantly improved performance over conventional methods, as validated by ablation studies and visualizations.…”
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  13. 10713

    Evaluation and spatiotemporal evolution of veterinary talent competitiveness: a new perspective of veterinary education by Xianhang Xu, Mohd Anuar Arshad, Yugang Jian, Arshad Mahmood, Mengdie Dong

    Published 2024-11-01
    “…It proposes a visual method to analyze the level and spatiotemporal evolution of veterinary talent competitiveness using the Entropy method and ArcGIS tools, with Western China as a case study. …”
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  14. 10714

    Multimodal Prompt-Guided Bidirectional Fusion for Referring Remote Sensing Image Segmentation by Yingjie Li, Weiqi Jin, Su Qiu, Qiyang Sun

    Published 2025-05-01
    “…In the early fusion stage, it conducts the deep fusion of linguistic and visual features through cross-modal prompt coupling. …”
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  15. 10715

    HETMCL: High-Frequency Enhancement Transformer and Multi-Layer Context Learning Network for Remote Sensing Scene Classification by Haiyan Xu, Yanni Song, Gang Xu, Ke Wu, Jianguang Wen

    Published 2025-06-01
    “…To solve this problem, we propose a novel method based on High-Frequency Enhanced Vision Transformer and Multi-Layer Context Learning (HETMCL), which can effectively learn the comprehensive features of high-frequency and low-frequency information in visual data. …”
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  16. 10716

    Detection of Microbial Growth on Indoor Building Materials in Two Countries Using qPCR by Helena Rintala, Oliver Röhl, Pinja Tegelberg, Teija Meklin

    Published 2025-07-01
    “…Hence, qPCR has great potential to become a standard method of detecting microbes in indoor environments.…”
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  17. 10717

    Breast Cancer Histopathological Image Classification Based on High-Order Modeling and Multi-Branch Receptive Fields by Mengda Zhao, Cunqiao Hou, Lu Cao, Jianxin Zhang

    Published 2025-05-01
    “…Existing convolutional neural network (CNN) methods primarily depend on first-order feature modeling, which makes it challenging to effectively capture higher-order features in breast cancer histopathological images. …”
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  18. 10718

    The impact of children’s dental anxiety on dentists by V. A. Katyukhina, I. A. Nikolskaya, I. Yu. Gileva, L. A. Sokolov, A. S. Larina, D. F. Galiullina, S. Zh. Zhusupbekov

    Published 2024-10-01
    “…The study shows that in order to prevent burnout syndrome in pediatric dentists, it is necessary to reduce professional stress through methods of adapting children to treatment, correcting patient behavior and reducing dental anxiety.…”
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  19. 10719

    Global Semantic Localization from Abstract Ellipse-Ellipsoid Model and Object-Level Instance Topology by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

    Published 2024-11-01
    “…In indoor environments, changes in illumination and object occlusion can have a significant impact on visual localization. In this paper, we propose a visual localization method based on an ellipse-ellipsoid model, combined with object-level instance topology and alignment. …”
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  20. 10720

    Serum vitamin C levels and risk of osteoporosis: results from a cross-sectional study and Mendelian randomization analysis by Zhiwen Liu, Zijing Peng, Yelin Zhong, Jianjun Wu, Sicheng Xiong, Wei Zhong, Jiehua Luo, Zhihai Zhang, Hongxing Huang

    Published 2024-11-01
    “…Mendelian randomization, employing methods such as IVW, reinforced the absence of a significant causal relationship between serum vitamin C levels and osteoporosis risk (IVW OR = 1.000, 95% CI: 0.999–1.001, P = 0.601).Subgroup analyses, visualized through forest plots and restricted cubic spline (RCS) curves, supported the primary findings, showing no significant effects or interactions between vitamin C levels and osteoporosis risk across different demographic and lifestyle subgroups. …”
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