Showing 101 - 107 results of 107 for search '(( relevant also algorithm ) OR ((( implement finding algorithm ) OR ( level coding algorithm ))))', query time: 0.14s Refine Results
  1. 101

    Teachers' Perceptions of the Role of Artificial Intelligence in Facilitating Inclusive Practices for Students with Special Educational Needs and Disabilities: A Case Study in a Pri... by BACHIR, HIBAH AHMAD

    Published 2025
    “…Yet several barriers were highlighted. Findings referred these barriers to limited teacher training, technological accessibility, and data privacy concerns, as well as ethical biases in AI algorithms. …”
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  2. 102

    Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features by Mariam Bahameish (19255789)

    Published 2024
    “…This study employed supervised learning algorithms to classify stress and relaxation states using HRV measures. …”
  3. 103

    Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures by JUMA, MAZEN GHAZI

    Published 2021
    “…The technology stack of the proposed solution was also implemented with four algorithms and eight protocols. …”
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  4. 104

    THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar by M. Walid Qoronfleh (14153088)

    Published 2020
    “…It is here. Implementing PM in routine clinical care does require some investment and infrastructure development. …”
  5. 105
  6. 106

    Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning by ALFALASI, FARIS Jr

    Published 2023
    “…The data needs to be initially prepared so that deep learning algorithms may be trained on it before cyberbullying analysis can be done. …”
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  7. 107

    Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

    Published 2023
    “…Since the success of AI is to be measured ultimately in terms of how it benefits human beings, and that the data driving the deep learning-based edge AI algorithms are intricately and intimately tied to humans, it is important to look at these AI technologies through a human-centric lens. …”