يعرض 181 - 200 نتائج من 1,036 نتيجة بحث عن '(( algorithm brain function ) OR ( algorithm both function ))', وقت الاستعلام: 0.50s تنقيح النتائج
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    S2 File - حسب Caroline L. Alves (14271413)

    منشور في 2024
    "…Our analysis reveals distinct neural signatures associated with ASD and ADHD: individuals with ADHD exhibit altered connectivity patterns of regions involved in attention and impulse control, whereas those with ASD show disruptions in brain regions critical for social and cognitive functions. …"
  3. 183

    Ethics of algorithmic invasiveness in beauty apps: an online experimental survey of public perspectives حسب Yves Saint James Aquino (12311423)

    منشور في 2025
    "…Results show that functionalities with high degree of algorithmic invasiveness, such as AI-generated attractiveness rankings, are viewed as significantly less socially acceptable than less invasive functionalities. …"
  4. 184

    Possible graph filter functions. حسب Edward Antonian (21453161)

    منشور في 2025
    "…<div><p>In this paper, we study a class of non-parametric regression models for predicting graph signals as a function of explanatory variables . Recently, Kernel Graph Regression (KGR) and Gaussian Processes over Graph (GPoG) have emerged as promising techniques for this task. …"
  5. 185

    The value functions of comparative policies. حسب Liying Wang (288626)

    منشور في 2025
    "…These expressions are determined using the copula function, and an algorithm is designed to construct the corresponding transition probability matrix. …"
  6. 186

    Fig 7 - حسب Susana Conde (5495675)

    منشور في 2024
  7. 187

    Results of the replicated simulations. حسب Susana Conde (5495675)

    منشور في 2024
    "…We propose a <i>K</i>-means-type algorithm in which each cluster is defined by a function-on-function regression model, which, inter alia, allows for multiple functional explanatory variables. …"
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    Presentation of the DySCo framework. حسب Giuseppe de Alteriis (20846230)

    منشور في 2025
    "…<p>A: What is dynamic Functional Connectivity: i) We can start from any set of brain recordings, where each signal is referred to a brain location (e.g. fMRI, EEG, intracranial recordings in rodents, and more). ii) “Static” Functional Connectivity (FC) is a matrix where each entry is a time aggregated functional measure of interaction between two regions, for example, the Pearson Correlation Coefficient. iii) Dynamic Functional Connectivity (dFC) is a FC matrix (that can be calculated in different ways, see below) that changes with time, under the assumption that patterns of brain interactions are non-stationary. …"
  10. 190

    S1 File - حسب Mohammad Hassan Tanha (19832141)

    منشور في 2024
    "…<div><p>In the proposed protection coordination scheme, the depreciation of the operation time of the entire relay in the primary and backup protection modes for all possible fault locations is considered as the objective function. The limitations of this problem include the equations for calculating the operation time of the relays in both forward and reverse directions, the limitation of the coordination time interval, the limitation of the setting parameters of the proposed relays, the restriction of the size of the reactance that limits the fault current, and the limitation of the standing time of distributed generation per small signal fault. …"
  11. 191

    Flowchart of SAOA. حسب Mohammad Hassan Tanha (19832141)

    منشور في 2024
    "…<div><p>In the proposed protection coordination scheme, the depreciation of the operation time of the entire relay in the primary and backup protection modes for all possible fault locations is considered as the objective function. The limitations of this problem include the equations for calculating the operation time of the relays in both forward and reverse directions, the limitation of the coordination time interval, the limitation of the setting parameters of the proposed relays, the restriction of the size of the reactance that limits the fault current, and the limitation of the standing time of distributed generation per small signal fault. …"
  12. 192

    Flowchart of overall solution procedure. حسب Mohammad Hassan Tanha (19832141)

    منشور في 2024
    "…<div><p>In the proposed protection coordination scheme, the depreciation of the operation time of the entire relay in the primary and backup protection modes for all possible fault locations is considered as the objective function. The limitations of this problem include the equations for calculating the operation time of the relays in both forward and reverse directions, the limitation of the coordination time interval, the limitation of the setting parameters of the proposed relays, the restriction of the size of the reactance that limits the fault current, and the limitation of the standing time of distributed generation per small signal fault. …"
  13. 193

    Summary of the CEC-2017 test functions. حسب Xingtao Wu (22139242)

    منشور في 2025
    "…<div><p>The icing failures of wind turbine blades are critical factors that affect both power generation efficiency and safety. To improve the diagnostic accuracy and speed, an improved weighted kernel extreme learning machine (IWKELM) optimized by multi-strategy adaptive coati optimization algorithm (MACOA) for icing fault diagnosis model is proposed, i.e., MACOA-IWKELM. …"
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    Simulation specifications for figure. حسب Nicholas H. Vitale (20469289)

    منشور في 2024
    "…Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm. …"
  18. 198

    Expected behavior system of ODEs. حسب Nicholas H. Vitale (20469289)

    منشور في 2024
    "…Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm. …"
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    Example fluorophores. حسب Nicholas H. Vitale (20469289)

    منشور في 2024
    "…Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm. …"
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