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Showing 21 - 25 results of 25 for search '(((( element data algorithm ) OR ( elementsi per algorithm ))) OR ( implement learner algorithm ))', query time: 0.10s Refine Results
  1. 21
    Toward automatic motivator selection for autism behavior intervention therapy

    Toward automatic motivator selection for autism behavior intervention therapy by Siyam, Nur

    Published 2022
    “…The states, actions and rewards design consider the factors that impact the efectiveness of a motivator based on applied behavior analysis as well as learners’ individual preferences. We use a Q-learning algorithm to solve the modeled problem. …”
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  2. 22
    Portable Electromagnetic Surface Profiling System

    Portable Electromagnetic Surface Profiling System by Al Homssi, Bassel Mohamad

    Published 2016
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  3. 23
    Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort

    Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort by Sergio Márquez-Sánchez (19437985)

    Published 2023
    “…However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …”
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  4. 24
    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

    Published 2023
    “…Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …”
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  5. 25
    After generative AI : preparing faculty to transform education, learning, and pedagogy

    After generative AI : preparing faculty to transform education, learning, and pedagogy by Hardey, Mariann

    Published 2025
    “…Going beyond basic explanations, Hardey and Aad provide practical insights and implementation strategies that recognize the concerns and ethical challenges related to GAI, such as bias in algorithms, privacy issues, and the need for inclusivity. …”
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