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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
fluent processing » light processing (Expand Search), query processing (Expand Search), text processing (Expand Search)
update algorithm » pass algorithm (Expand Search), data algorithms (Expand Search), ipca algorithm (Expand Search)
cosine algorithm » colony algorithm (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
element update » element data (Expand Search)
level cosine » level coding (Expand Search), level cytokine (Expand Search), level using (Expand Search)
Showing 1 - 20 results of 52 for search '(( element update algorithm ) OR ((( fluent processing algorithm ) OR ( level cosine algorithm ))))', query time: 0.44s Refine Results
  1. 1
    Algorithm for optimizing the model using transformer.

    Algorithm for optimizing the model using transformer. by Weiling Liu (1465480)

    Published 2025
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  2. 2
    The squared cosine values for the original variables in the new features (PC1 to PC5) are provided below.

    The squared cosine values for the original variables in the new features (PC1 to PC5) are provided below. by Lorenzo Serva (6184358)

    Published 2024
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  3. 3
    Review of related research.

    Review of related research. by Manqi Li (22633830)

    Published 2025
    “…A distinctive aspect of our method is transforming image grayscale levels into fuzzy sets. We analyze the similarity between the fuzzy sets before and after enhancement using the cosine similarity algorithm, allowing us to reconstruct the processed images with targeted similarity. …”
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  4. 4
    Image quality assessment.

    Image quality assessment. by Manqi Li (22633830)

    Published 2025
    “…A distinctive aspect of our method is transforming image grayscale levels into fuzzy sets. We analyze the similarity between the fuzzy sets before and after enhancement using the cosine similarity algorithm, allowing us to reconstruct the processed images with targeted similarity. …”
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  5. 5
    Contrast analysis results.

    Contrast analysis results. by Manqi Li (22633830)

    Published 2025
    “…A distinctive aspect of our method is transforming image grayscale levels into fuzzy sets. We analyze the similarity between the fuzzy sets before and after enhancement using the cosine similarity algorithm, allowing us to reconstruct the processed images with targeted similarity. …”
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  6. 6
    Details of museum collection images.

    Details of museum collection images. by Manqi Li (22633830)

    Published 2025
    “…A distinctive aspect of our method is transforming image grayscale levels into fuzzy sets. We analyze the similarity between the fuzzy sets before and after enhancement using the cosine similarity algorithm, allowing us to reconstruct the processed images with targeted similarity. …”
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  7. 7
    Meaning of special values for image contrast.

    Meaning of special values for image contrast. by Manqi Li (22633830)

    Published 2025
    “…A distinctive aspect of our method is transforming image grayscale levels into fuzzy sets. We analyze the similarity between the fuzzy sets before and after enhancement using the cosine similarity algorithm, allowing us to reconstruct the processed images with targeted similarity. …”
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  8. 8
    Multi-material topology optimization using scaled boundary finite element method

    Multi-material topology optimization using scaled boundary finite element method by Mohammed Saif Zamiruddin Siddiqui (22384884)

    Published 2025
    “…SBFEM is implemented and its performance is tested across different density interpolation-based MMTO methods: the Alternating Active-Phase (AAP) algorithm, SIMP with mapping based interpolation, and polygonal mesh based MMTO, PolyMat which uses Discrete Material Optimization (DMO) combined with Zhang–Paulino–Ramos (ZPR) update scheme. …”
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  9. 9
    Evaluation of spatial transcriptomics (ST) tools across various metrics and conditions.

    Evaluation of spatial transcriptomics (ST) tools across various metrics and conditions. by Huamei Li (8815955)

    Published 2025
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  10. 10
    Relationships between different measures of polarization on 2D disk.

    Relationships between different measures of polarization on 2D disk. by Tau-Mu Yi (257804)

    Published 2025
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  11. 11
    Landscape Change Monitoring System (LCMS) Puerto Rico USVI Year of Highest Probability of Gain (Image Service)

    Landscape Change Monitoring System (LCMS) Puerto Rico USVI Year of Highest Probability of Gain (Image Service) by U.S. Forest Service (17476914)

    Published 2025
    “…All cloud and cloud shadow free values are also temporally segmented using the CCDC algorithm (Zhu and Woodcock, 2014). The raw composite values, LandTrendr fitted values, pair-wise differences, segment duration, change magnitude, and slope, and CCDC September 1 sine and cosine coefficients (first 3 harmonics), fitted values, and pairwise differences, along with elevation, slope, sine of aspect, cosine of aspect, and topographic position indices (Weiss, 2001) from the National Elevation Dataset (NED), are used as independent predictor variables in a Random Forest (Breiman, 2001) model. …”
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  12. 12
    Landscape Change Monitoring System (LCMS) Puerto Rico USVI Annual QA Bits

    Landscape Change Monitoring System (LCMS) Puerto Rico USVI Annual QA Bits by U.S. Forest Service (17476914)

    Published 2025
    “…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …”
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  13. 13
    Landscape Change Monitoring System (LCMS) Hawaii Annual Landcover

    Landscape Change Monitoring System (LCMS) Hawaii Annual Landcover by U.S. Forest Service (17476914)

    Published 2025
    “…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …”
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  14. 14
    Landscape Change Monitoring System (LCMS) Alaska Most Recent Year of Gain (Image Service)

    Landscape Change Monitoring System (LCMS) Alaska Most Recent Year of Gain (Image Service) by U.S. Forest Service (17476914)

    Published 2025
    “…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …”
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  15. 15
    Landscape Change Monitoring System (LCMS) Hawaii Annual Landuse

    Landscape Change Monitoring System (LCMS) Hawaii Annual Landuse by U.S. Forest Service (17476914)

    Published 2025
    “…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …”
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  16. 16
    Landscape Change Monitoring System (LCMS) Alaska Annual QA Bits

    Landscape Change Monitoring System (LCMS) Alaska Annual QA Bits by U.S. Forest Service (17476914)

    Published 2025
    “…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …”
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  17. 17
    Landscape Change Monitoring System (LCMS) Hawaii Most Recent Year of Gain (Image Service)

    Landscape Change Monitoring System (LCMS) Hawaii Most Recent Year of Gain (Image Service) by U.S. Forest Service (17476914)

    Published 2025
    “…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …”
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  18. 18
    Landscape Change Monitoring System (LCMS) Conterminous United States Year of Highest Probability of Gain (Image Service)

    Landscape Change Monitoring System (LCMS) Conterminous United States Year of Highest Probability of Gain (Image Service) by U.S. Forest Service (17476914)

    Published 2025
    “…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …”
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    Saved in:
  19. 19
    Landscape Change Monitoring System (LCMS) Puerto Rico USVI Annual Landcover

    Landscape Change Monitoring System (LCMS) Puerto Rico USVI Annual Landcover by U.S. Forest Service (17476914)

    Published 2025
    “…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …”
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    Saved in:
  20. 20
    Landscape Change Monitoring System (LCMS) Hawaii Annual Change

    Landscape Change Monitoring System (LCMS) Hawaii Annual Change by U.S. Forest Service (17476914)

    Published 2025
    “…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …”
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