Showing 19,461 - 19,480 results of 26,849 for search 'evaluation computing', query time: 0.25s Refine Results
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    Lane detection based on IBN deep neural network and attention by Yue Song, Li-yong Wang, Hao-dong Wang, Meng-lin Li

    Published 2022-12-01
    “…We evaluated the performance of the proposed method, which improved by 6.3% over ResNet34 on the TuSimple datasets. …”
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  3. 19463

    A novel EWMA-based adaptive control chart for industrial application by using hastings approximation by Muhammad Atif Sarwar, Muhammad Hanif, Fahad R. Albogamy, Muhammad Nabi

    Published 2024-12-01
    “…The run-length profiles, including the average run-length (ARL) and the standard deviation of run-length (SDRL), are computed under various parameter settings. The effectiveness of the proposed chart is evaluated using Monte Carlo (MC) simulations in terms of run-length profiles. …”
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    Modeling PROTAC degradation activity with machine learning by Stefano Ribes, Eva Nittinger, Christian Tyrchan, Rocío Mercado

    Published 2024-12-01
    “…Our results are not only comparable to state-of-the-art models for protein degradation prediction, but also part of an open-source implementation which is easily reproducible and less computationally complex than existing approaches.…”
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  15. 19475

    Real-Time Long-Wave Infrared Semantic Segmentation With Adaptive Noise Reduction and Feature Fusion by Haejun Bae, Dong-Goo Kang, Minhye Chang, Kye Young Jeong, Byung Cheol Song

    Published 2025-01-01
    “…Extensive qualitative and quantitative evaluations further validate its robustness, particularly in scenarios where RGB imagery is unavailable. …”
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    Corrigendum to “Modeling PROTAC degradation activity with machine learning” [Artif. Intell. Life Sci. 6 (2024) 100104] by Stefano Ribes, Eva Nittinger, Christian Tyrchan, Rocío Mercado

    Published 2024-12-01
    “…Our results are not only comparable to state-of-the-art models for protein degradation prediction, but also part of an open-source implementation which is easily reproducible and less computationally complex than existing approaches.…”
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    Article
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