Search Results - (( variable teaching model algorithm ) OR ( java application stemming algorithm ))

  • Showing 1 - 7 results of 7
Refine Results
  1. 1

    Enhancing wind power forecasting accuracy with hybrid deep learning and teaching-learning-based optimization by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

    Published 2024
    “…Using a real dataset spanning diverse weather conditions and turbine specifications collected between January 2018 and March 2020, the study employs 18 features as inputs, including Ambient Temperature, Wind Direction, and Wind Speed, with real power output in kW as the target variable. Metaheuristic algorithms including Particle Swarm Optimization (PSO), Barnacles Mating Optimizer (BMO), Biogeography-Based Optimization (BBO), and Firefly Algorithm (FA) are comprehensively compared for model optimization. …”
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    Examining the potential of machine learning for predicting academic achievement: A systematic review by Nazir, M., Noraziah, Ahmad, Rahmah, M., Sharma, Aditi

    Published 2023
    “…ML models can analyse various variables, including demographics, socioeconomic status, and academic history, to identify patterns and relationships that can predict academic performance. …”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    Examining the potential of machine learning for predicting academic achievement: A systematic review by Nazir, M., Noraziah, Ahmad, Rahmah, M., Sharma, Aditi

    Published 2023
    “…ML models can analyse various variables, including demographics, socioeconomic status, and academic history, to identify patterns and relationships that can predict academic performance. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4
  5. 5

    Technical efficiency performance of Malaysian public research universities: Fuzzy data envelopment analysis / Saber Abdelall Mohamed Ahmed by Saber Abdelall, Mohamed Ahmed

    Published 2023
    “…Secondly, while DEA model requires precise input and output data of HEIs, this study utilizes the QS World University Ranking research output indicators as the output variables of the Fuzzy DEA model. …”
    Get full text
    Get full text
    Get full text
    Thesis
  6. 6

    Permodelan Rangkaian Neural Buatan Untuk Penilaian Kendiri Teknologi Maklumat Guru Pelatih by Hashim, Asman

    Published 2001
    “…Data containing eleven predictive variables was used to train and test neural network model. …”
    Get full text
    Get full text
    Get full text
    Thesis
  7. 7