Showing 8,541 - 8,560 results of 22,078 for search 'visualization methods', query time: 0.18s Refine Results
  1. 8541

    Prognostic Factors for Successful Surgical Outcomes in Trochlear Nerve Palsy: A Retrospective Study and Literature Review by Srimanan W

    Published 2025-05-01
    “…Collected data included demographics, visual acuity, stereopsis, etiology, preoperative angles, surgical methods, and postoperative outcomes. …”
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  2. 8542
  3. 8543

    Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

    Published 2025-01-01
    “…Multi-modal data features of different machining states are then obtained using time–frequency domain methods and Markov transition field methods. Sensitivity analysis of time–frequency domain features is conducted using Pearson correlation coefficient analysis. …”
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  4. 8544

    Abnormality-aware multimodal learning for WSI classification by Thao M. Dang, Qifeng Zhou, Yuzhi Guo, Hehuan Ma, Saiyang Na, Thao Bich Dang, Jean Gao, Junzhou Huang

    Published 2025-02-01
    “…However, their gigapixel resolution, lack of pixel-level annotations, and reliance on unimodal visual data present challenges for accurate and efficient computational analysis. …”
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  5. 8545
  6. 8546

    Fundamentals of protein interaction network mapping by Jamie Snider, Max Kotlyar, Punit Saraon, Zhong Yao, Igor Jurisica, Igor Stagljar

    Published 2015-12-01
    “…In addition, we discuss computational methods to predict, map, and visualize interactomes, and provide a summary of some of the most important interactome resources. …”
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    Article
  7. 8547

    Five questions on the multisensory perception in historic urban areas by Eggi Septianto, Firmansyah Firmansyah, Heru Wibowo Poerbo, Widjaja Martokusumo

    Published 2025-01-01
    “…Discussions on heritage conservation extend beyond physical aspects evaluated visually to encompass non-physical elements. This article presents five questions covering the definition, influencing factors, types and categories, and methods for multisensory perception research. …”
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    Article
  8. 8548

    There is Still Vision/Hope – Choices of Optical Low Vision Aids (A-Z) by Prasanna Venkatesh Ramesh, Sathyan Parthasarathi, Shruthy Vaishali Ramesh, Aji Kunnath Devadas

    Published 2024-01-01
    “…Low vision aids (LVA) are designed to provide improved visual acuity to a visually impaired patient who cannot be treated by regular refractive corrections or other treatments. …”
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  9. 8549

    A meta-analysis for the nighttime light remote sensing data applied in urban research: Key topics, hotspot study areas and new trends by Baiyu Dong, Ruyi Zhang, Sinan Li, Yang Ye, Chenhao Huang

    Published 2025-06-01
    “…Furthermore, they not yet delved into research methods and their relationship with research topics. …”
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    Article
  10. 8550

    Big Data Intelligent Analysis Technology for the Study of Spatial and Time Trends in the Development of Large Cities by K. V. Mulyukova, I. V. Mulyukov, V. M. Kureichik

    Published 2023-07-01
    “…Big data storage is based on the MongoDB server. To visualize data, a Web interface based on HTML and CSS is used.Results. …”
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    Article
  11. 8551

    Analisis Strategi Peningkatan Literasi Dasar pada Siswa Sekolah Dasar di Surabaya untuk Mendukung Peningkatan Nilai Pisa (Program for International Student Assessment): Systematic... by Mutty Hariyati, Fajar Arianto, Martadi Martadi, Fiqrie Restia Agusti

    Published 2024-12-01
    “…Results: The findings reveal several strategies that have been implemented to improve basic literacy skills among elementary school students, including literacy habituation through GLS and teaching methods such as the formation of literacy clubs, reading aloud, and the use of visual media. …”
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    Article
  12. 8552

    TDFNet: twice decoding V-Mamba-CNN Fusion features for building extraction by Wenlong Wang, Peng Yu, Mengmeng Li, Xiaojing Zhong, Yuanrong He, Hua Su, Yunxuan Zhou

    Published 2025-07-01
    “…Research shows the importance of both global context and spatial details for accurate building extraction. Therefore, methods integrating convolutional neural networks (CNNs) and visual transformers (ViTs) are popular nowadays. …”
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  13. 8553

    Early detection of Cercospora beticola and powdery mildew diseases in sugar beet using uncrewed aerial vehicle-based remote sensing and machine learning by Koç Mehmet Tuğrul, Rıza Kaya, Kemal Özkan, Merve Ceyhan, Uğur Gürel, Fatih Yavuz Fidantemiz

    Published 2025-06-01
    “…To effectively evaluate different detection methods in agricultural contexts, the study targeted two key areas: (1) monitoring Cercospora in fields without pesticide application, utilizing the Metos climate station early warning system alongside UAV-based image analysis, and (2) monitoring powdery mildew, which involved visual disease detection and targeted spraying based on UAV image processing. …”
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  14. 8554

    Application of artificial intelligence in insect pest identification - A review by Sourav Chakrabarty, Chandan Kumar Deb, Sudeep Marwaha, Md. Ashraful Haque, Deeba Kamil, Raju Bheemanahalli, Pathour Rajendra Shashank

    Published 2026-03-01
    “…This review updates AI-powered insect pest identification, covering its significance, methods, challenges, and prospects.…”
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  15. 8555

    IL-6-Inducing Peptide Prediction Based on 3D Structure and Graph Neural Network by Ruifen Cao, Qiangsheng Li, Pijing Wei, Yun Ding, Yannan Bin, Chunhou Zheng

    Published 2025-01-01
    “…A series of experiments including cross-validation, independent testing, ablation studies, and visualizations demonstrate the effectiveness of the DGIL-6 method.…”
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  16. 8556

    Lessons learned from the co-development of operational climate forecast services for vineyards management by N. Pérez-Zanón, V. Agudetse, E. Baulenas, P.A. Bretonnière, C. Delgado-Torres, N. González-Reviriego, A. Manrique-Suñén, A. Nicodemou, M. Olid, Ll. Palma, M. Terrado, B. Basile, F. Carteni, A. Dente, C. Ezquerra, F. Oldani, M. Otero, F. Santos-Alves, M. Torres, J. Valente, A. Soret

    Published 2024-12-01
    “…In the co-design phase, more intense engagement methods were implemented to communicate the capabilities of climate forecasts and design the product’s visualisation. …”
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  17. 8557

    Inhomogeneous Illumination Image Enhancement Under Extremely Low Visibility Condition by Libang Chen, Jinyan Lin, Qihang Bian, Yikun Liu, Jianying Zhou

    Published 2024-11-01
    “…Imaging through dense fog presents unique challenges, with essential visual information crucial for applications like object detection and recognition, thereby hindering conventional image processing methods. …”
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  18. 8558

    Pedestrian Vision Language Model for Intentions Prediction by Farzeen Munir, Shoaib Azam, Tsvetomila Mihaylova, Ville Kyrki, Tomasz Piotr Kucner

    Published 2025-01-01
    “…Traditional deep learning methods have limitations in capturing the complexities of pedestrian behavior, often relying on simplistic representations or indirect inference from visual cues, which hinders their explainability. …”
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  19. 8559

    Surgical treatment of diabetic macular edema by R. R. Fayzrakhmanov, O. A. Pavlovsky, M. A. Lukinykh, N. S. Egorova

    Published 2024-10-01
    “…Various methods of surgical treatment of DR, which can impact the course of DME, are analyzed, including vitreoretinal surgery using vitrectomy with or without membrane peeling of the internal limiting and epiretinal membranes. …”
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  20. 8560

    Modern aproaches to diabetic macular edema diagnosticks by A. V. Doga, P. L. Volodin, E. V. Ivanova, D. A. Buryakov, O. I. Nikitin, F> A. Avakyan

    Published 2020-08-01
    “…Thus, early diagnosis and timely treatment of this disease is the key to successfully counteract the uncontrolled decline in the patient’s visual functions. In this article, the team of authors highlighted the possibilities of informative instrumental research methods available in the Arsenal of modern ophthalmological services. …”
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