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Showing 81 - 84 results of 84 for search '(((( implementing making algorithm ) OR ( element mesh algorithm ))) OR ( level coding algorithm ))', query time: 0.10s Refine Results
  1. 81
    LDSVM: Leukemia Cancer Classification Using Machine Learning

    LDSVM: Leukemia Cancer Classification Using Machine Learning by Abdul Karim (417009)

    Published 2022
    “…Moreover, a Synthetic minority oversampling technique (SMOTE) and Principal compenent analysis (PCA) approaches were implemented. This makes the records generalized and evaluates the outcomes well. …”
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  2. 82
    Use of Data Mining Techniques to Detect Fraud in Procurement Sector

    Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

    Published 2022
    “…The findings from this study will help implement a system that will significantly reduce fraud in the procurement sector. …”
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  3. 83
    Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases

    Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases by Muhammad Ali Muzammil (17910611)

    Published 2024
    “…These AI algorithms are effective non-invasive biomarkers for cardiovascular illnesses because they can identify subtle patterns and signals in the ECG that may not be readily apparent to human interpreters. …”
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  4. 84
    Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study

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

    Published 2023
    “…However, despite the significant impact of AI design on human interests, the security and trustworthiness of edge AI applications are not foolproof and ethicalneither foolproof nor ethical; Moreover, social norms are often ignored duringin the design, implementation, and deployment of edge AI systems. In this paper, we make the following two contributions: Firstly, we analyze the application of edge AI through a human-centric perspective. …”
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