An Institutional Repository (IR) is a digital service that collects, preserves, and distributes digital material. It serves as the home for the intellectual output of MUT academic communities, and will ultimately include digital dissertations, faculty publications, digital special collections, open access publications, open educational resources and much more.

Communities in Research Archive

Recently Added

  • A Model for Face Recognition using EigenFace Algorithm 

    Ochango, Vincent Mbandu (International Journal of Formal Sciences: Current and Future Research Trends, 2023)
    The use of a computer to recognize a person by the means of their face is what is known as face recognition in artificial intelligence. The term biometrics is an umbrella term that includes face recognition as well as ...

  • Architecture of Deep Learning Algorithms in Image Classification: Systematic Literature Review 

    Ochangoa, Vincent Mbandu; Ndia, John Gichuki (International Journal of Formal Sciences: Current and Future Research Trends (IJFSCFRT), 2023)
    The development of deep learning algorithms has led to major improvements in image classification, a key problem in computer vision. In this study, the researcher provide an in-depth analysis of the various deep learning ...

  • An Empirical Analysis of Encoder Decoder (U Net) Variants for Medical Image Segmentation 

    Kamiri, Jackson; Wambugu, Geoffrey Mariga; Oirere, Aaron Mogeni (International Journal of Scientific Research in Computer Science and Engineering, 2025)
    U-Net convolutional neural networks have become a cornerstone in medical image processing, particularly for complex segmentation tasks. However, with the proliferation of various U-Net variants, it is imperative to evaluate ...

  • Deep Learning Model for Crop Diseases and Pest Classification 

    Ochango, Vincent Mbandu; Oirere, Aaron Mogeni (International Journal of Computer and Information Technology, 2024)
    The study on deep learning models for crop diseases and pest classification looked at how these models may enhance agricultural practices, specifically for the purpose of more precise pest and crop disease classification. ...

  • Feature Extraction using Histogram of Oriented Gradients for Image Classification in Maize Leaf Diseases 

    Ochango, Vincent M; Wambugu, Geoffrey M; Ndia, John G (International Journal of Computer and Information Technology, 2022)
    The paper presents feature extraction methods and classification algorithms used to classify maize leaf disease images. From maize disease images, features are extracted and passed to the machine learning classification ...

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