يعرض 281 - 300 نتائج من 733 نتيجة بحث عن '(((( algorithm pca function ) OR ( algorithm wave function ))) OR ( algorithm python function ))*', وقت الاستعلام: 0.37s تنقيح النتائج
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    Flow of wavelet threshold denoising. حسب Bingbing Li (461702)

    منشور في 2024
    "…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …"
  3. 283

    The improved Hard TA and Soft TA. حسب Bingbing Li (461702)

    منشور في 2024
    "…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …"
  4. 284

    Image smoothness of different methods. حسب Bingbing Li (461702)

    منشور في 2024
    "…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …"
  5. 285

    The diagram of Hard TA and Soft TA. حسب Bingbing Li (461702)

    منشور في 2024
    "…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …"
  6. 286

    Three images of fingerprint patterns. حسب Bingbing Li (461702)

    منشور في 2024
    "…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …"
  7. 287

    Similarity error of different methods. حسب Bingbing Li (461702)

    منشور في 2024
    "…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …"
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    Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. حسب Kevin Sawade (16726527)

    منشور في 2023
    "…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…"
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    Data_Sheet_1_RF-PCA: A New Solution for Rapid Identification of Breast Cancer Categorical Data Based on Attribute Selection and Feature Extraction.PDF حسب Kai Bian (9357035)

    منشور في 2020
    "…According to the average importance of attributes and out of bag error, 21 relatively important attribute data were selected for feature extraction based on PCA. The seven features extracted from PCA were used to establish an extreme learning machine (ELM) classification model with different activation functions. …"
  15. 295

    Identification of Microbial Strains via 2D Cross-Correlation of LC-MS Data حسب Tucker James Collins (18552609)

    منشور في 2024
    "…Prior research in this area has employed methods such as Principal Component Analysis (PCA), the k-Nearest Neighbors’ (kNN) algorithm, and Pearson correlation. …"
  16. 296

    Image_1_KairoSight: Open-Source Software for the Analysis of Cardiac Optical Data Collected From Multiple Species.TIF حسب Blake L. Cooper (11622613)

    منشور في 2021
    "…Despite the refinement of software tools and algorithms, significant programming expertise is often required to analyze large optical data sets, and data analysis can be laborious and time-consuming. …"
  17. 297

    Data_Sheet_1_Multi-Omics Data Fusion via a Joint Kernel Learning Model for Cancer Subtype Discovery and Essential Gene Identification.PDF حسب Jie Feng (8115)

    منشور في 2021
    "…Furthermore, we employ kernel principal component analysis (PCA) to extract features for each expression profile, convert them into three similarity kernel matrices by Gaussian kernel function, and then fuse these matrices as a global kernel matrix. …"
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    Exploration of Chemical Compound, Conformer, and Reaction Space with Meta-Dynamics Simulations Based on Tight-Binding Quantum Chemical Calculations حسب Stefan Grimme (1321575)

    منشور في 2019
    "…Due to the approximate character of the GFN2-xTB method, the resulting structure ensembles require further refinement with more sophisticated, for example, density functional or wave function theory methods. However, the approach is extremely efficient running routinely on common laptop computers in minutes to hours of computation time even for realistically sized molecules with a few hundred atoms. …"