Search Results - Algorithmic training

  1. Improving region based CNN object detector using bayesian optimization by Muhammad, Amgad

    Published 2018
    “…In my work, I'm developing a sequential searching algorithm based on Bayesian Optimization to propose better candidate bounding boxes for the objects of interest. …”
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    Thesis
  2. Admission Control in Sliced Networks, with Predictive Analytics by Ngufor, Perose

    Published 2024
    “…We design and evaluate two intra-slice admission control algorithms namely, the Decision Matrix algorithm and the Utility Index algorithm. …”
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  3. Improved privacy Protection model for prevention of data over-collection in smart devices

    Published 2022-12
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    Conference Proceeding
  4. Volatility Model Pricing and Calibration with Neural Networks using Bayesian Optimisation by Goosen, Jenna

    Published 2023
    “…Therefore, this dissertation explores the use of deep artificial neural networks to calibrate volatility models by deploying computational resources to train a model (offline) and then utilise the pre-trained model to competitively price options (online). …”
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  5. Conversational mining via motif detection

    Published 2022
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  6. A prototype of a robust and secured access control system using principal component analysis

    Published 2007
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    Article
  7. Predicting mergers and acquisitions using machine learning by Beckenstrater, Gordon

    Published 2024
    “…A secondary objective is the development of a robust ensemble model for potential use in an investment portfolio. The algorithms were trained on a comprehensive historical dataset with diverse financial indicators. …”
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  8. Partitioned particle filtering for target tracking in video sequences by Louw, Markus Smuts

    Published 2024
    “…[page 9-12,17,18 are missing] A partitioned particle filtering algorithm is developed to track moving targets exhibiting complex interaction in a static environment, in a video sequence. …”
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  9. Efficient End-to-end Autonomous Driving by Eraqi, Hesham

    Published 2020
    “…Steering a car through traffic is a complex task that is difficult to cast into algorithms. Therefore, researchers turn to train artificial neural networks from front-facing camera data stream along with the associated steering angles. …”
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  10. Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification by Youssef, Sarah

    Published 2021
    “…This data was then used to train, and test 3 different classification models (XGBoost, KNN & SVM) and the outcome was compared accordingly. …”
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  11. Adaptive control of alumina concentration in the hall-heroult cell using neural network by Boadu, Kwaku Debra

    Published 2012
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  12. Assessing classification performance for sampled remote sensing data

    Published 2023
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  13. Automated stratigraphic classification and feature detection from images of borehole cores by Van der Walt, Stefan Johann

    Published 2007
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  14. Automated elephant detection and classification from aerial infrared and colour images using deep learning by Marais, Jacques Charles

    Published 2018
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  15. Enhancing cross-dataset performance in distracted driver detection using body part activity recognition. by Zandamela, Frank

    Published 2025
    “…Firstly, it evaluates the performance of current deep learning-based distracted driver detection algorithms across different datasets. Secondly, it proposes a robust algorithm for detecting distracted drivers by identifying key human body parts involved in operating a vehicle.…”
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  16. Examining personality assessment in asynchronous video interviews (AVI): convergence between human personality judgements and AI/ML scoring by Cronje, Jacobus Fouche

    Published 2025
    “…Responses were scored by 15 trained human raters and a closed-dictionary text-analysis keyword-counting AI algorithm developed for this study, respectively. …”
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  17. Counting animals in ecological images by Pillay, Nakkita

    Published 2022
    “…This research applies a blob detection algorithm primarily based on the determinant of the Hessian matrix to estimate counts of animals in aerial images of colonies in a user-friendly web application and trains an object detection model using deep convolutional neural networks to automatically identify and count penguin prey in 2053 images extracted from animal-borne videos. …”
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  18. Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

    Published 2025
    “…In this dissertation, MATLAB/Simulink software was used to develop the MPPT system, while the RL toolbox in MATLAB was used to train the DRL algorithms. Also, the P&O method was developed for comparison purposes and to validate the DRL algorithms' performance. …”
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  19. Automated analysis of digital medical images in cervical cancer screening: A systematic review by Ledwaba, Leshego

    Published 2024
    “…Results This systematic review found 16 studies which reported application of algorithms paired with novel image acquisition devices, and 52 studies reporting on standalone image analysis algorithms. …”
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  20. Design and Development of an Autoinjector Tracking Device to Integrate with Emergency Service by Maqungu, Qhamani

    Published 2025
    “…Additionally, the tracking algorithm to be validated with different Android mobile devices.…”
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