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Showing 201 - 220 results of 700 for search '(((( data using algorithm ) OR ( data making algorithm ))) OR ( element update algorithm ))', query time: 0.17s Refine Results
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    Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures by Leduc, Guillaume

    Published 2025
    “…To determine the parameters of the regime switching model and identify when economic states change, we employ the EM algorithm, utilizing real gas futures price data. We validate our closed-form solution for the option pricing through simulations employing the generalized antithetic variates Monte-Carlo technique. …”
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    article
  4. 204

    A fast exact sequential algorithm for the partial digest problem by Mostafa M. Abbas (17058093)

    Published 2016
    “…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …”
  5. 205

    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach by Sarif, Bambang

    Published 2006
    “…The algorithm is tested using 200 randomly generated 2-variable 4-valued functions. …”
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    article
  6. 206
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    Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review by Avneet Kaur (712349)

    Published 2024
    “…The most widely used algorithms incorporate Support Vector Machine (SVM), Random Forest (RF), Convolutional Neural Network (CNN), and MobileNet with accuracy rates between 64.3 and 100%. …”
  8. 208

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

    Published 2024
    “…Among these, K-means is widely used for efficiently solving clustering problems. …”
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    masterThesis
  9. 209

    Second-order conic programming for data envelopment analysis models by Mourad, Nahia

    Published 2022
    “…Data envelopment analysis (DEA) is a widely used benchmarking technique. …”
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    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition by Dabeeruddin Syed (16864260)

    Published 2021
    “…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …”
  12. 212

    Data mining approach to predict student's selection of program majors by SIDDARTHA, SHARMILA

    Published 2019
    “…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …”
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    Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques by Arifa Zahir (20748764)

    Published 2024
    “…The DinoLite Microscope’s high-resolution images are used to measure the length and width of wheat anthers. …”
  15. 215

    A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation by Kfouri, Ronald

    Published 2023
    “…Also, to evaluate the robustness of the algorithms, we test the neural network, without retraining it, on multiple scenarios with noisier data and bad data. …”
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    masterThesis
  16. 216

    An ant colony optimization algorithm to improve software quality prediction models by Azar, D.

    Published 2011
    “…We use an ant colony optimization algorithm in the adaptation process. …”
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    article
  17. 217

    Multi-marker-LD based genetic algorithm for tag SNP selection by Mansour, Nashat

    Published 2014
    “…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …”
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    article
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    Convergence and steady-state analysis of the normalized least mean fourth algorithm by Zerguine, Azzedine

    Published 2007
    “…Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. …”
    article
  20. 220

    Convergence and steady-state analysis of the normalized least mean fourth algorithm by Zerguine, Azzedine

    Published 2007
    “…Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. …”
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    article