Showing 2,901 - 2,920 results of 32,195 for search '(equalization OR visualization) methods', query time: 0.23s Refine Results
  1. 2901

    Bibliometric analysis of research on intestinal flora and primary biliary cholangitis published between 2004 and 2024 using VOSviewer and CiteSpace visualization by Tao Li, Wang Jing

    Published 2025-05-01
    “…Excel, VOSviewer, and CiteSpace were used for econometric analysis and visualization of the identified articles.ResultsBetween 2004 and 2024, 167 articles focusing on intestinal flora and PBC were published. …”
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  2. 2902

    Designing for Engagement: A Mixed-Methods Study of AR and Concept Mapping Method in Mobile Vocabulary Learning by Shuo-Fang Liu, An Yu Su, Yi Chieh Wu, Sheng-Fei Chien

    Published 2025-01-01
    “…This study investigates the effectiveness of integrating augmented reality (AR) and concept mapping method in English vocabulary learning and proposes a design thinking-based development framework for learning systems. …”
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  3. 2903
  4. 2904

    PlantGaussian: Exploring 3D Gaussian splatting for cross-time, cross-scene, and realistic 3D plant visualization and beyond by Peng Shen, Xueyao Jing, Wenzhe Deng, Hanyue Jia, Tingting Wu

    Published 2025-04-01
    “…This highlights the need for a universal approach capable of providing realistic plant visualizations across time and scene. Here, we introduce PlantGaussian, an approach for generating realistic three-dimensional (3D) visualization for plants across time and scenes. …”
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  5. 2905

    Real-Time Integration of Optical Coherence Tomography Thickness Map Overlays for Enhanced Visualization in Epiretinal Membrane Surgery: A Pilot Study by Ferhat Turgut, Keisuke Ueda, Amr Saad, Tahm Spitznagel, Luca von Felten, Takashi Matsumoto, Rui Santos, Marc D. de Smet, Zoltán Zsolt Nagy, Matthias D. Becker, Gábor Márk Somfai

    Published 2025-03-01
    “…(1) Background: The process of epiretinal membrane peeling (MP) requires precise intraoperative visualization to achieve optimal surgical outcomes. This study investigates the integration of preoperative Optical Coherence Tomography (OCT) images into real-time surgical video feeds, providing a dynamic overlay that enhances the decision-making process during surgery. (2) Methods: Five MP surgeries were analyzed, where preoperative OCT images were first manually aligned with the initial frame of the surgical video by selecting five pairs of corresponding points. …”
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  6. 2906

    Construction of a poor prognosis prediction and visualization system for intracranial aneurysm endovascular intervention treatment based on an improved machine learning model by Chunyu Lei, Anhui Fu, Bin Li, Shengfu Zhou, Jun Liu, Yu Cao, Bo Zhou

    Published 2025-01-01
    “…ObjectiveTo evaluate the clinical utility of improved machine learning models in predicting poor prognosis following endovascular intervention for intracranial aneurysms and to develop a corresponding visualization system.MethodsA total of 303 patients with intracranial aneurysms treated with endovascular intervention at four hospitals (FuShun County Zigong City People's Hospital, Nanchong Central Hospital, The Third People's Hospital of Yibin, The Sixth People's Hospital of Yibin) from January 2022 to September 2023 were selected. …”
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  7. 2907

    The value of non-enhanced CT 3D visualization in differentiating stage Ⅰ invasive lung adenocarcinoma between LPA and non-LPA by Jinxin Chen, Xinyi Zeng, Feng Li, Jidong Peng

    Published 2024-12-01
    “…Methods: A group of 178 individuals diagnosed with lung adenocarcinoma were chosen and categorized into two groups: the LPA group and the non-LPA group, according to their pathological results. …”
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  8. 2908

    Visualization of Sex Identification in Red‐Crowned Crane (Grus japonensis) via Recombinase‐Aided Amplification Combined With Pyrococcus furiosus Argonaute Assay by Shenluan Tan, Tongtong Zhan, Fanwen Zeng, Xuanjiao Chen, Tanzipeng Chen, Li Li, Hengxi Wei, Shouquan Zhang, Kejing Zuo

    Published 2025-07-01
    “…As sex‐monomorphic birds, red‐crowned cranes cannot be directly distinguished between females and males through observation. Molecular methods are accurate and stable for sex identification in birds and are widely used in zoos and farms. …”
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  9. 2909

    Quantifying optimal inner limiting membrane peeling in macular hole surgery: a machine learning framework for predictive modeling and schematic visualization by Xiang Zhang, Hongjie Ma, Song Lin, Ledong Zhao, Lu Chen, Zetong Nie, Zhaoxiong Wang, Chang Liu, Xiaorong Li, Wenbo Li, Bojie Hu

    Published 2025-08-01
    “…Abstract Purpose Internal limiting membrane (ILM) peeling in macular hole (MH) surgery is critical but challenging, and current practices lack standardized tools for quantifying and visualizing optimal peeling dimensions.This study aimed to develop a machine learning framework to recommend surgeon-specific ILM peeling radius during macular hole surgery, integrating predictive modeling with schematic visualization to guide operative planning. …”
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  10. 2910
  11. 2911

    Eye Tracking in the Wild: the Good, the Bad and the Ugly by Otto Lappi

    Published 2015-10-01
    “…Modelling human cognition and behaviour in rich naturalistic settings and under conditions of free movement of the head and body is a major goal of visual science. Eye tracking has turned out to be an excellent physiological means to investigate how we visually interact with complex 3D environments, real and virtual. …”
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  12. 2912

    Abstract 153: Pre‐procedural 3D visualization of deep‐learning vascular segmentation enhances identification of difficult femoral access in thrombectomy by Pere Canals, Manuel Requena, Álvaro García‐Tornel, Marc Molina, Alejandro Tomasello, Jiahui Li, Simone Balocco, Oliver Díaz, Marc Ribó

    Published 2023-11-01
    “…Raters were asked to answer the same form for each case twice, once after visualizing only the CTA and again after visualizing a deep‐learning, automated 3D segmentation of the head‐and‐neck arteries from CTA [2]. …”
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  13. 2913
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  15. 2915

    THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS by A. V. Panteleev, M. S. Karane

    Published 2019-04-01
    “…The article adduces the formulation of these problems: the objective function, a set of constraints and a set of admissible solutions are indicated, recommendations on the choice of parameters of the methods used are given. To solve the problems of optimizing the elements of aircraft construction, a set of software elements was formed in the development environment of Microsoft Visual Studio in C #. …”
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  16. 2916
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  18. 2918

    Research on deep learning framework for multi scale information graph generation and visualization enhancement based on self attention generative Adversarial Network by Qian Zhou

    Published 2025-06-01
    “…Abstract With the widespread adoption of Generative Adversarial Networks (GANs) in image generation and processing, enhancing their generation quality and visualization capabilities has become a prominent research focus. …”
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  19. 2919

    MATLAB Application for User-Friendly Design of Fully Convolutional Data Description Models for Defect Detection of Industrial Products and Its Concurrent Visualization by Fusaomi Nagata, Shingo Sakata, Keigo Watanabe, Maki K. Habib, Ahmad Shahrizan Abdul Ghani

    Published 2025-04-01
    “…In this paper, a fully convolutional data description (FCDD) model is applied to defect detection and its concurrent visualization for industrial products and materials. …”
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  20. 2920

    Study protocol for developing an urban deprivation index in Nepal: Data review, measurement, visualization and real-world application in urban poverty alleviation. by Sampurna Kakchapati, Sitashma Mainali, Noemia Teixeira de Siqueira-Filha, Helen Elsey, Joseph Paul Hicks, Andrew Clark, Farzana Sehrin, Zahidul Quayyum, Bassey Ebenso, Sushil Chandra Baral

    Published 2025-01-01
    “…The urban deprivation index in Nepal will provide granular data that will enable policymakers and stakeholders to explore the urban deprivation index visually and access key insights for informed decision-making and resource allocation.…”
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