Showing 181 - 200 results of 5,506 for search '(((pinnau OR (ince OR (ssspine OR ssspinge))) OR (fine OR find)) OR (sping OR (pin OR ling)))*', query time: 0.08s Refine Results
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    The missing body of J.T. Leroy by Kollectiv, Galia, Kollectiv, Pil

    Published 2018
    Subjects: “…700 The arts; fine & decorative arts…”
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    Book Section
  5. 185

    The image factory: consumer culture, photography and the visual content industry (Review) by Murray, Martin

    Published 2004
    Subjects: “…700 The arts; fine & decorative arts…”
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    Article
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    A Data Mining-Based Model for Assessing Guangzhou's Higher Vocational Colleges 'New Energy Automobile Majors' Vocational Skills by He, Ling, Hamid, Hashima

    Published 2024
    “…In endurance validation tests, the hybrid model obtained an acceptable 88% F1 score, 90% recall, 86% precision, and 88% accuracy. The findings show the positive aspects of using modern data-driven methods to more closely match educational institutions with the constantly evolving needs of the AS. …”
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    Article
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    Playing Like a Girl by Kollectiv, Galia, Kollectiv, Pil

    Published 2017
    Subjects: “…700 The arts; fine & decorative arts…”
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    Book Section
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    Work / memories of work by Arkomanis, Ektoras

    Published 2016
    Subjects: “…700 The arts; fine & decorative arts…”
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    Video
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    Marta Czok EX_PATRIA by Scarso, Jacek Ludwig, Czok, Marta

    Published 2024
    Subjects: “…700 The arts; fine & decorative arts…”
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    Show/Exhibition
  20. 200

    Deep learning-based microcirculation performance classification using multispectral photoacoustic technology by Chua, Hui Ling, Huong, Audrey

    Published 2024
    “…The ultrasonic waves collected from their posterior left arm under two experimental settings, namely at rest (i.e., control) and with arterial blood flow occlusions, were used to predict the microcirculation changes in tissue using the deep networks. Our findings showed the superiority of the hybrid model over the Alexnet and LSTM, with an average testing accuracy of 95.7 % and precision of 98.2 %, making it an ideal deep learning model for the task. …”
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    Article