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    OPACITY INFLUENCED INCONSTANT METHOD FOR 3D HOLOGRAPHIC PYRAMID RENDERING by Sarah َQahtan Mohammed Salih, Puteri Suhaiza Sulaiman, Abdul Sattar Arif Khammas, Ramlan Mahmod, Rahmita Wirza O.K. Rahmat

    Published 2020-01-01
    “…An algorithm is developed by adding an opacity variable and manipulating the intensity and position of the other variables to enhance the depth cues of a 3D object. …”
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    Artificial intelligence derived grading of mustard gas induced corneal injury and opacity by Rajnish Kumar, Devansh M. Sinha, Nishant R. Sinha, Ratnakar Tripathi, Nathan Hesemann, Suneel Gupta, Anil Tiwari, Rajiv R. Mohan

    Published 2025-07-01
    “…SM induced corneal injury and opacity from 401 in-house rabbit corneal images captured with a clinical stereomicroscope were used. …”
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    Morphologic Versions of Postoperative Opacities of the Lens Capsule in Contemporary Cataract Surgery (Working Classification) by A. A. Fedorov, A. A. Gamidov, V. G. Motalov, L. V. Komratova, E. A. Averkina, M. A. Kuznetsova, R. A. Gamidov

    Published 2018-10-01
    “…Purpose: creation of working classification of morphologic variations of postoperative lens capsule opacity after Micro-Invasive cataract surgery. Material and methods. …”
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    MCOA: A Comprehensive Multimodal Dataset for Advancing Deep Learning in Corneal Opacity Assessment by Xinyu Ma, Jianxia Fang, Yaqi Wang, Zhichao Hu, Zhe Xu, Sha Zhu, Weijia Yan, Mengqi Chu, Jingwei Xu, Siting Sheng, Chujun Liu, Mingxuan Zhang, Ce Shi, Gangyong Jia, Wen Xu

    Published 2025-05-01
    “…However, the absence of large-scale, high-quality datasets hinders the development of deep learning algorithms for this purpose. To bridge this gap, we established the most extensive corneal opacity dataset available. …”
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    A Clinical Case of Two-Stage Visual-Functional Rehabilitation of a Patient with Postinfectious Central Corneal Opacity in Combination with Mixed Astigmatism Using Laser Keratorefra... by N. V. Maychuk, I. A. Mushkova, M. R. Obraztsova

    Published 2021-12-01
    “…Introduction: to evaluate the clinical and functional results of two-stage treatment in a patient with post-infectious Central corneal opacity combined with mixed astigmatism.Patient and methods. …”
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    Significance of Chest Computed Tomography Scan Findings at Time of Diagnosis in Patients with COVID-19 Pneumonia by Rajaa Suhail Najim, Ahmed Diaa Abdulwahab, Dina Nasih Tawfeeq

    Published 2022-01-01
    “…Various CT algorithms including CT scoring system were used to assess quantitively and qualitatively the severity of COVID-19 pneumonia. …”
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    The ability to assess the state of the fundus in patients with lens opacities of varying intensity, including patients with type 2 diabetes mellitus, using quantitative analysis of... by L. A. Mineeva, L. I. Balashevich, A. A. Kozhukhov, L. B. Shubin, A. V. Kabanov, C. Passaglia, D. Richards, B. Madow

    Published 2020-05-01
    “…In order to better fix the details of the fundus images with lens opacities using a computer algorithm with a filter system, evaluation scales have been developed – the clarity score scale and the blur score scale. …”
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    A Novel Method for the Generation of Realistic Lung Nodules Visualized Under X-Ray Imaging by Ahmet Peker, Ayushi Sinha, Robert M. King, Jeffrey Minnaard, William van der Sterren, Torre Bydlon, Alexander A. Bankier, Matthew J. Gounis

    Published 2024-12-01
    “…Conclusions: Generated recommendations on the use of n-BCA and ethiodized oil can help establish a standard for the evaluation of new image-guided solutions and refinement of algorithms in phantom and animal studies with realistic nodules.…”
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    Enjeux définitionnels et scientifiques de la littératie algorithmique : entre mécanologie et rétro-ingénierie documentaire by Olivier LE DEUFF, Rayya ROUMANOS

    Published 2022-07-01
    “…The goal of algorithm literacy is to help users acquire new skills to counter the recurrent problem of opacity and biases in algorithmic processing of data and information. …”
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    Centralising Qualitative Research in Big Data Methods Through Algorithmic Ethnography by Sam Hames, Naomi Barnes

    Published 2023-04-01
    “…In the debates about the opacity of online algorithms, qualitative researchers typically advocate for access to code. …”
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    Que(e)rying artificial intelligence use for infectious disease surveillance: The need for a reparative algorithmic praxis by Elise E. Racine

    Published 2025-03-01
    “…Placing this technology within patterns of power, privilege, marginalization, and disadvantage, it interrogates how to achieve algorithmic justice for SGMs. It proposes concrete steps towards a reparative algorithmic praxis, including: (1) exploring how these systems reproduce inequalities, (2) centering sexual and gender diversity to disrupt problematic epistemic positions, and (3) combating opacity through participatory governance mechanisms. …”
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    Advancing GNOS-R Soil Moisture Estimation: A Multi-Angle Retrieval Algorithm for FY-3E by Xuerui Wu, Junming Xia, Weihua Bai, Yueqiang Sun

    Published 2025-07-01
    “…Utilizing multi-angle GNOS-R observations, the algorithm derives surface reflectivity, which is combined with ancillary data on opacity, vegetation water content, and soil moisture from SMAP (Soil Moisture Active Passive) to optimize the retrieval process. …”
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    Dix petits hacks Tinder : les algorithmes au service d’une économie spéculative des rencontres amoureuses et sexuelles by David MYLES, Martin BLAIS

    Published 2021-05-01
    “…Our analysis suggests that the practice of algorithmic blackboxing, that is, characterizing algorithms as black boxes, is central to these guides that rely on the alleged opacity of Tinder’s algorithms to praise certain products, advice, or services that aim to facilitate matchmaking. …”
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    The AI Triple Whammy by Deepak P

    Published 2025-03-01
    “…The focus of many such studies is split across governance and administration of algorithms on the one side, and consequences of algorithmic control on the other. …”
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    Machine learning predictions on the output parameters of common rail direct injection engines fueled with ternary blend by Subramanian Karthikeyan, Paramasivam Sathiyagnanam Amudhavalli, Dillikannan Damodharan

    Published 2025-01-01
    “…This study aims to employ a machine learning algorithm (MLA) to predict Common Rail Direct Injection (CRDI) engine emissions and performance using alternative feedstock. …”
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