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Showing 1 - 16 results of 16 for search 'multiple source detector algorithm~', query time: 5.43s Refine Results
  1. 1
    Detectors, sources, and channels.

    Detectors, sources, and channels. by Ural Akincioglu (21772538)

    Published 2025
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  2. 2
    Python-based Monte Carlo Simulation Tool

    Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

    Published 2024
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  3. 3
    Medians of ARD (left) and PRD (right) distributions plotted against SNR values for respective experimental setups and radionuclides.

    Medians of ARD (left) and PRD (right) distributions plotted against SNR values for respective experimental setups and radionuclides. by Antanas Bukartas (10023785)

    Published 2021
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  4. 4
    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics

    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

    Published 2024
    “…FLASHQuant is publicly available as platform-independent open-source software at https://openms.org/flashquant/, accompanied by the simple alignment algorithm ConsensusFeatureGroupDetector for multiple LC-MS runs.…”
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  5. 5
    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics

    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

    Published 2024
    “…FLASHQuant is publicly available as platform-independent open-source software at https://openms.org/flashquant/, accompanied by the simple alignment algorithm ConsensusFeatureGroupDetector for multiple LC-MS runs.…”
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  6. 6
    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics

    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

    Published 2024
    “…FLASHQuant is publicly available as platform-independent open-source software at https://openms.org/flashquant/, accompanied by the simple alignment algorithm ConsensusFeatureGroupDetector for multiple LC-MS runs.…”
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  7. 7
    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics

    FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

    Published 2024
    “…FLASHQuant is publicly available as platform-independent open-source software at https://openms.org/flashquant/, accompanied by the simple alignment algorithm ConsensusFeatureGroupDetector for multiple LC-MS runs.…”
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  8. 8
    Convergence speed of the improved algorithm.

    Convergence speed of the improved algorithm. by Qiuping Shen (2562166)

    Published 2024
    “…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”
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  9. 9
    Effects of saturation on indicated intensity across the m/z range.

    Effects of saturation on indicated intensity across the m/z range. by Daryl Wilding-McBride (13015058)

    Published 2022
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  10. 10
    Structure diagram of the adaptive filter.

    Structure diagram of the adaptive filter. by Qiuping Shen (2562166)

    Published 2024
    “…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”
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  11. 11
    LMS suppression modal component diagram.

    LMS suppression modal component diagram. by Qiuping Shen (2562166)

    Published 2024
    “…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”
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  12. 12
    Space gravitational wave signal GW170817 diagram.

    Space gravitational wave signal GW170817 diagram. by Qiuping Shen (2562166)

    Published 2024
    “…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”
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  13. 13
    Space gravitational wave signal GW150914 diagram.

    Space gravitational wave signal GW150914 diagram. by Qiuping Shen (2562166)

    Published 2024
    “…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”
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  14. 14
    Space gravitational wave signal GW170104 diagram.

    Space gravitational wave signal GW170104 diagram. by Qiuping Shen (2562166)

    Published 2024
    “…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”
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  15. 15
    Synchrotron Micro-Tomography of NMC811 Particles

    Synchrotron Micro-Tomography of NMC811 Particles by Huw Parks (7416482)

    Published 2024
    “…Within this dataset is a series of 3D tiff stacks that contain tomograms from I13-2 at Diamond Light Source, with a spatial resolution of 325 nm using a pco.edge.5.5 CMOS full field X-ray detector. …”
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  16. 16
    DataSheet1_Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images.PDF

    DataSheet1_Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images.PDF by Niccolò Marini (11247936)

    Published 2021
    “…The scale detector accurately predicts multiple levels of image magnification and generalizes well to independent external data. …”
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