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Showing 21 - 40 results of 128 for search '(( ((decision model) OR (python code)) implementation ) OR ( python tool implementation ))', query time: 0.15s Refine Results
  1. 21

    Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings by Siyam, Nur

    Published 2021
    “…The proposed work presents four significant contributions, namely identifying the key design principles to inform the design of a coordination mobile app for special education, developing and implementing the IEP-Connect mobile app, modelling the selection of a motivator as a Markov Decision Process (MDP), and proposing a Reinforcement Learning (RL) framework to recommend a motivator to be used with students with SEND in a given learning setting. …”
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  2. 22

    Implementation of Deep Learning for Measurement of Penile Curvature on Real 2D Intraoperative Images by Sriman Bidhan Baray (15302398)

    Published 2025
    “…Only 6% of cases crossed the 30° surgical threshold, confirming the tool’s reliability for clinical decision-making. </p><h3 dir="ltr">Discussion</h3><p dir="ltr">This study demonstrates the successful implementation of deep learning and keypoint-based measurement of PC that could significantly improve patient assessment by surgeons and hypospadiology researchers.…”
  3. 23

    A Maturity Model to Assess Organization’s Readiness to Adopt a Sustainable Business Model by Awwad, Mohamed Aly

    Published 2021
    “…The final model has been implemented on a UAE for-profit organization for validation and market feedback. …”
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  4. 24

    An overview of Information and Computer Technology Ethics in the United Arab Emirates by Taliah, Mohamed Rashid Bin

    Published 2009
    “…This study briefly covers several models of ethical behaviour and decision making in order construct a suitable model for the evaluation of the ethical environment in the UAE workplace. …”
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  5. 25

    Key Determinants of Artificial Intelligence Adoption and the Perception of Decision Makers Towards Enablement of Socio-Economic Sustainability Goals: Case UAE Smart Sustainable Cit... by KHANSAHEB, KHULOOD SHEBIB HUSSAIN ABDULRAHMAN

    Published 2023
    “…The research proposed a strategic conceptual model for the adoption, usage, and implementation of AI in UAE smart cities to facilitate socio-economic sustainability through achievement of socio-economic sustainable development goals. …”
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  6. 26

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

    Published 2022
    “…We use a Q-learning algorithm to solve the modeled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. …”
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  7. 27

    Using Assessment Design Decision Framework in understanding the Impact of rapid transition to remote education on student assessment in health-related colleges: A qualitative study by Myriam Jaam (11014409)

    Published 2023
    “…This study employed the Assessment Design Decision Framework (ADDF), a theoretical model that considers key aspects of assessment design, to retrospectively investigate from a multi-stakeholder perspective the assessments implemented following the rapid transition to remote learning during the COVID-19 pandemic. …”
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    An optimization approach to increasing sustainability and enhancing resilience against environmental constraints in LNG supply chains: A Qatar case study by Sara Al-Haidous (18095368)

    Published 2022
    “…The developed model, which is implemented using the Binary Particle Swarm Optimization algorithm subjected to economic and environmental objectives within an overarching strategic aim for sustainability and resilience. …”
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    Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

    Published 2020
    “…An implementation of our proposed R-learning model is provided in the paper, followed by a series of experiments on a real dataset to prove its efficiency in utilizing fog resources and minimizing the cloud’s load. …”
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