Showing 621 - 640 results of 5,488 for search 'decision three algorithm', query time: 0.20s Refine Results
  1. 621

    A Comparative Analysis of Machine Learning Algorithms in Energy Poverty Prediction by Elpida Kalfountzou, Lefkothea Papada, Christos Tourkolias, Sevastianos Mirasgedis, Dimitris Kaliampakos, Dimitris Damigos

    Published 2025-02-01
    “…The present paper adds new insights to the existing literature by exploring the capacity of ML algorithms to successfully predict energy poverty, as defined by different indicators, for the case of the “Urban Region of Athens” in Greece. …”
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    Article
  2. 622

    Application of machine learning algorithm to predict the behavior of stocks marketed in Brazil by Gabriel Donadio Costa, Rogério João Lunkes

    Published 2025-07-01
    “…The sample included 40,562 observations from six companies listed on B3, from August 1994 to December 2021. Models trained only with fundamental or technical variables evidenced low accuracy, which was translated into low learning and generalization capacity of the algorithm. …”
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    Article
  3. 623

    Optimization of well locations in tight oil reservoir based on genetic algorithm by Zahraa A. Al-Sadi, Dhifaf J. Sadeq, Modhar Khan

    Published 2025-03-01
    “…The results showed that the genetic algorithm gives acceptable values in optimization problems with relatively few decision variables. …”
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    Article
  4. 624

    Comparative analysis of impact of classification algorithms on security and performance bug reports by Said Maryyam, Bin Faiz Rizwan, Aljaidi Mohammad, Alshammari Muteb

    Published 2024-12-01
    “…Comparative analysis reveals that two algorithms (SVM and LR) perform better in terms of precision (0.99) for performance bugs and three algorithms (SVM, ANN, and LR) perform better in terms of F1 score for security bugs as compared to other classification algorithms which are essentially due to the linear dataset and extensive number of features in the dataset.…”
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    PERFORMANCE COMPARISON OF CLASSICAL ALGORITHMS AND DEEP NEURAL NETWORKS FOR TUBERCULOSIS PREDICTION by Gilgen Mate Landry, Rodolphe Nsimba Malumba, Fiston Chrisnovi Balanganayi Kabutakapua, Bopatriciat Boluma Mangata

    Published 2025-01-01
    “…The SVM and KNN models also performed strongly, but slightly less well. The Decision Tree obtained acceptable results, but inferior to the other algorithms evaluated. …”
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    Accuracy Comparison of Machine Learning Algorithms on World Happiness Index Data by Sadullah Çelik, Bilge Doğanlı, Mahmut Ünsal Şaşmaz, Ulas Akkucuk

    Published 2025-04-01
    “…This study aims to compare the accuracy performances of different machine learning algorithms (Logistic Regression, Decision Tree, Support Vector Machines (SVMs), Random Forest, Artificial Neural Network, and XGBoost) using World Happiness Index data. …”
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    Design of a Demodulation Algorithm for UWOC based on Improved Manchester Coding by ZHANG You, HU Fangren, ZHAO Xiaoyan, ZHOU Jun, WANG Qilong

    Published 2025-04-01
    “…【Results】The test results show that the UWOC system based on this demodulation algorithm has an BER of 10<sup>-5</sup> in indoor clear water pools and 10<sup>-3</sup> in nearshore lake water at a communication speed of 50 Mbit/s and a communication distance of 10 m.…”
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