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  1. 1

    On the Use of Deep Learning for Video Classification by Atiq ur Rehman (14153391)

    Published 2023
    “…To make the review self-contained, the emergence of deep learning methods towards automatic video classification and the state-of-art deep learning methods are well explained and summarized. …”
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    Colon cancer classification using microarray data by Tariq Khan, Saima

    Published 2010
    “…Imaging techniques, which are the prevalent method of detection and diagnosis, are only useful once the cancerous growth has become visible.However, if techniques that detect cancerous processes at a genetic level are utilized then the cancerous tissues could be identified, and the disease diagnosed much earlier, thus giving a far better prognosis.Therefore, the aim of this thesis is to evaluate the performance of a variety of different classification methods with a particular dataset containing genetic samples of both normal and cancerous biopsies of the colon tissue.A classifier will be recommended which is able to learn the patterns within the microarray data that best determines the classification of the samples.…”
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    Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models by Theng, Lau Wei

    Published 2022
    “…This paper presents an image classification method on 4 types of salak (salak pondoh, salak gading, salak sideempuan and salak affinis) using a Convolutional Neural Network (CNN), VGG16 and ResNet50. …”
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    FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

    Published 2019
    “…A Master of Science thesis in Computer Engineering by Mohammed Elnawawy entitled, “FPGA-Based Network Traffic Classification Using Machine Learning”, submitted in November 2019. …”
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    Construction Materials Classification Using Wi-Fi and Convolutional Neural Networks by Gacem, Mohamed Ait

    Published 2021
    “…A Master of Science thesis in Electrical Engineering by Mohamed Ait Gacem entitled, “Construction Materials Classification Using Wi-Fi and Convolutional Neural Networks”, submitted in November 2021. …”
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    doctoralThesis
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    Lung cancer medical images classification using hybrid CNN-SVM by Abdulrazak Yahya Saleh (18520026)

    Published 2021
    “…This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …”
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    Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images by Sami Elzeiny (16891521)

    Published 2020
    “…By combining 20% of the samples collected from test subjects into the training data, the calibrated generic models’ accuracy was improved and outperformed the generic performance across both the spatial and frequency domain images. The average classification accuracy of 99.6%, 99.9%, and 88.1%, and 99.2%, 97.4%, and 87.6% were obtained for the training set, validation set, and test set, respectively, using the calibrated generic classification-based method for the series of inter-beat interval (IBI) spatial and frequency domain images. …”
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    Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning by Abdus Salam (1918387)

    Published 2025
    “…The framework also supported hydronephrosis classification using the fluid-to-kidney area ratio, with a threshold of 0.213 derived from prior literature. …”
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    Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach by Zubair Saeed (19325647)

    Published 2024
    “…Unlike traditional machine learning methods requiring manual feature extraction, DL models are adept at handling complex data like MRIs and excel in classification tasks, making them well-suited for medical image analysis applications. …”
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    Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms by Almahmood, Mothanna

    Published 2023
    “…Our study aimed to use data mining classification techniques, in order to classify the individual into two categories: user or non-user. …”
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    An Exemplar Pyramid Feature Extraction Based Alzheimer Disease Classification Method by Heba Soliman Zaina (16904787)

    Published 2022
    “…In term of binary-class classification, we were able to achieve very good results using both GM and WM. …”
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    Classification of Common Partial Discharge Types in Oil-Paper Insulation Using Acoustic Signals by Harbaji, Mustafa

    Published 2014
    “…A Master of Science thesis in Electrical Engineering by Mustafa Harbaji entitled, "Classification of Common Partial Discharge Types in Oil-Paper Insulation Using Acoustic Signals," submitted in February 2014. …”
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    doctoralThesis
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