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    Effectiveness Evaluation of Random Forest, Naive Bayes, and Support Vector Machine Models for KDDCUP99 Anomaly Detection Based on K-means Clustering by Zhang Majun

    Published 2025-01-01
    “…K-means clustering technique is applied as a preprocessing step to enhance the overall quality of network intrusion detection and maximize the accuracy of the network security measures. …”
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    Article
  8. 648

    A Novel an All-Optical Refractive Index Biosensor Based-on Glass Cylinder Cavity Resonance for Detection of Malaria-Infected Red Blood Cells by Gregory T. MacLennan

    Published 2023-06-01
    “…The effects of these diseases are very dangerous and deadly. Early detection of such diseases is very important to prevent death. …”
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    Article
  9. 649

    Design of Coffee Disease Detection Web Application Using Image Processing: A Case Study of Kyabugimbi-Kajunju Cooperative Farms in Bushenyi District. by Asiimwe, Mark, Kakuru, Ambrose

    Published 2024
    “…This final-year project endeavors to pioneer an image-based solution for the early detection of diseases affecting coffee crops, employing advanced techniques in computer science. …”
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    Thesis
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    Law basics:Evedence by Auchie Derek P.

    Published 2018
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    Book