يعرض 481 - 500 نتائج من 665 نتيجة بحث عن '(((( algorithm spread function ) OR ( algorithm etc function ))) OR ( algorithm python function ))', وقت الاستعلام: 0.47s تنقيح النتائج
  1. 481

    Code and Data for 'Fabrication and testing of lensed fiber optic probes for distance sensing using common path low coherence interferometry' حسب Radu Stancu (21165068)

    منشور في 2025
    "…Distance Sensing</p><p dir="ltr">Code and data to demonstrate extracting distance sensing data from A-scans and to generate Fig. 8 using the algorithm described in Fig. 7. Functions to generate distance measurements are in 'distance_sensing_utilities.py' and an example of how to use this on data in the 'data' folder is in 'distance_sensing_example.py', which generates Fig 8. …"
  2. 482

    A dynamically changing bistable switch enhances robustness and accuracy of transitions in time and space. حسب Jan Rombouts (5007665)

    منشور في 2021
    "…J) Coefficient of variation as function of Δ<i>a</i> for the stochastic simulation algorithm (compare to Panel F). …"
  3. 483

    Table_1_Stigmatic Microscopy Enables Low-Cost, 3D, Microscale Particle Imaging Velocimetry in Rehydrating Aqueous Two-Phase Systems.DOCX حسب Cameron Yamanishi (3350813)

    منشور في 2019
    "…Stigmatic microscopy is inexpensive and advantageous because it modifies the point-spread function of fluorescent particles to enable measurement of their 3D positions from single 2D images, without needing to take slices. …"
  4. 484

    Data_Sheet_1_A comprehensive overview of cellular senescence from 1990 to 2021: A machine learning-based bibliometric analysis.ZIP حسب Chan Li (433717)

    منشور في 2023
    "…Background<p>As a cellular process, senescence functions to prevent the proliferation of damaged, old and tumor-like cells, as well as participate in embryonic development, tissue repair, etc. …"
  5. 485

    Brain-in-the-Loop Learning for Intelligent Vehicle Decision-Making حسب Xiaofei Zhang (16483224)

    منشور في 2025
    "…In this paper, we utilize functional near-infrared spectroscopy (fNIRS) signals as real-time human risk-perception feedback to establish a brain-in-the-loop (BiTL) trained artificial intelligence algorithm for decision-making. …"
  6. 486

    Table1_Classification of Power Quality Disturbance Based on S-Transform and Convolution Neural Network.docx حسب Jinsong Li (255117)

    منشور في 2021
    "…Compared with other classification methods, the algorithm proposed in this paper has better timeliness and higher accuracy, and it is an efficient and feasible power quality disturbance signal classification method.…"
  7. 487

    Optimisation method for automatic selection of rate constants of global reaction mechanisms حسب Aleksander D. Zakharov (14237135)

    منشور في 2022
    "…Uniqueness of singlecriteria and multicriteria optimisation solutions is studied numerically by computations with different initial guesses and by direct evaluation of the objective functions. Particularly, it is found that for considered global mechanisms the minimum value of objective function is reached in some subdomain of the parametric space. …"
  8. 488

    Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression حسب Ting Yang (189879)

    منشور في 2021
    "…<p>For multivariate nonparametric regression, functional analysis of variance (ANOVA) modeling aims to capture the relationship between a response and covariates by decomposing the unknown function into various components, representing main effects, two-way interactions, etc. …"
  9. 489

    An extensible framework for the probabilistic search of stochastically-moving targets characterized by generalized Gaussian distributions or experimentally-defined regions of inter... حسب Benjamin L. Hanson (11173296)

    منشور في 2025
    "…<p>This article presents a continuous-time framework for modeling the evolution of a probability density function (PDF) summarizing the region of interest (ROI) during the search for a stochastically-moving, statistically stationary target. …"
  10. 490

    Map Matching on Low Sampling Rate Trajectories Through Deep Inverse Reinforcement Learning and Multi Intention Modeling حسب Reza Safarzadeh (18072472)

    منشور في 2024
    "…</li><li>`mm_sequence`: Contains codes and functions related to map matching sequence which includes functions for processing and matching sequences of GPS points to the underlying road network.…"
  11. 491

    MOMA compared to MFA-derived estimates, carbon yield efficiencies and CBA co-factor profile comparison across unconstrained, manually curated and experimentally constrained solutio... حسب Laura de Arroyo Garcia (9226096)

    منشور في 2020
    "…MOMA ranges were estimated using the wild type solution as a reference and sequentially implementing the single-gene knockouts studied by Long et al. (2019) [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008125#pcbi.1008125.ref046" target="_blank">46</a>], with biomass formation as the objective function. MFA ranges were extracted from a pre-existing dataset (Long et al., 2019), using a Python algorithm to select the minimal and maximal flux ranges.…"
  12. 492

    Table1_Identification and verification of IGFBP3 and YTHDC1 as biomarkers associated with immune infiltration and mitophagy in hypertrophic cardiomyopathy.DOCX حسب Yao Li (154923)

    منشور في 2022
    "…Highly infiltrated immune cells (MDSC, macrophages, etc.), more enriched immune-related pathways (TNFα signaling via NFκB and IL6-JAK-STAT3 signaling) and cardiac remodeling-associated pathways (epithelial mesenchymal transition, angiogenesis, etc.) were identified in the subgroup with higher IGFBP3. …"
  13. 493

    Data_Sheet_1_Exploring changes in depression and radiology-related publications research focus: A bibliometrics and content analysis based on natural language processing.docx حسب Kangtao Wang (9177766)

    منشور في 2022
    "…The unsupervised Leuven algorithm was used to build a network to identify relationships between research focus.…"
  14. 494

    Mechanomics Code - JVT حسب Carlo Vittorio Cannistraci (5854046)

    منشور في 2025
    "…The functions were tested respectively in: MATLAB 2018a or youger, Python 3.9.4, R 4.0.3.…"
  15. 495

    Image 1_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif حسب Wenzhe Li (815057)

    منشور في 2025
    "…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …"
  16. 496

    Image 3_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif حسب Wenzhe Li (815057)

    منشور في 2025
    "…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …"
  17. 497

    Image 2_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif حسب Wenzhe Li (815057)

    منشور في 2025
    "…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …"
  18. 498

    Logical Fault Detection Approach for Mixed Control Flipping Faults in Reversible Circuits حسب Mousum Handique (21385838)

    منشور في 2025
    "…Simultaneously, in order to observe the correct behavior of reversible circuits in terms of performing the correct functionality and integrity performance, testing plays an important role. …"
  19. 499

    Table 1_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

    منشور في 2025
    "…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
  20. 500

    Table 2_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

    منشور في 2025
    "…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"