Showing 1 - 12 results of 12 for search '(( algorithm python function ) OR ( ((algorithms python) OR (algorithms often)) function ))*', query time: 0.08s Refine Results
  1. 1
    Distributed dimension reduction algorithms for widely dispersed data

    Distributed dimension reduction algorithms for widely dispersed data by Abu-Khzam, F.N.

    Published 2002
    “…Stress function measurements indicate that the distributed algorithm is highly competitive with the original FastMap heuristic.…”
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  2. 2
    An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure

    An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure by Mouna Rabhi (17086969)

    Published 2024
    “…The current tree-based ME algorithms often overlook considerations for node/link failures or offer costly methods for failure recovery. …”
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  3. 3
    ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation

    ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation by Said Mahfoud (17150968)

    Published 2022
    “…The best solutions adopted in this situation are often based on optimization algorithms that generate the controller’s gains in each period where there is an internal or external perturbation, adapting the behaviors of the PID against the system’s nonlinearity. …”
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  4. 4
    Face Recognition in Uncontrolled Indoor Environment

    Face Recognition in Uncontrolled Indoor Environment by Abuqaaud, Kamal Adel

    Published 2013
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  5. 5
    Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System

    Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System by Sahawneh, Laith Rasmi

    Published 2009
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  6. 6
    A novel network-based SIS framework for improved GA performance

    A novel network-based SIS framework for improved GA performance by Tohme, Rawane

    Published 2025
    “…Genetic algorithms have long been used to solve complex optimization problems by mimicking natural selection processes. …”
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  7. 7
    Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy

    Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy by El-Ferik, S

    Published 2020
    “…Numerical results are provided to illustrate both the use of the algorithm in the study of the optimal cost function and the latter's sensitivity to different changes in cost factors. …”
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  8. 8
    FoGMatch

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …”
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  9. 9
    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins

    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins by Samir Brahim, Belhaouari

    Published 2025
    “…Unlike standard machine learning approaches such as PCA, LDA, SVM, RF, GBM etc, DeepRaman functions independently, requiring no human interaction, and can be used to much smaller datasets than traditional CNNs. …”
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  10. 10
    Label dependency modeling in Multi-Label Naïve Bayes through input space expansion

    Label dependency modeling in Multi-Label Naïve Bayes through input space expansion by PKA Chitra (21749216)

    Published 2024
    “…<p dir="ltr">In the realm of multi-label learning, instances are often characterized by a plurality of labels, diverging from the single-label paradigm prevalent in conventional datasets. …”
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  11. 11
    Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks

    Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks by Zahidi, Sarah Hussain

    Published 2013
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  12. 12
    Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem

    Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem by Assaker, Guy

    Published 2016
    “…The research note is presented in two parts: Part A presents an overview of REBUS, including its development, algorithm, and its primary functions. Part B demonstrates the application of REBUS in examining a validated tourism model of destination image, satisfaction, and destination loyalty. …”
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