Search Results - (tracking OR training) algorithm

Search alternatives:

  1. Mining continuous classes using evolutionary computing

    Published 2013
    Get full text
    Get full text
    Thesis
  2. Face recognition with partial occlusions using weighing and image segmentation

    Published 2021
    Get full text
    Thesis
  3. Natural Language Processing on Data Warehouses by Maree, Stiaan

    Published 2022
    “…In contrast, the embedding model implemented the word2vec algorithm to create different kinds of vectors from the data warehouse. …”
    Get full text
    Thesis
  4. Data-driven augmentation of pronunciation dictionaries by Loots, Linsen

    Published 2010
    Get full text
    Thesis
  5. Retention processes in the Southern Benguela upwelling system by Rogerson, Jonathan

    Published 2025
    “…A physical ocean model configuration of the SBUS in conjunction with a gradient-based edge detection algorithm and a Lagrangian tracking code are used and evaluated against a combination of in situ and satellite data products. …”
    Get full text
    Thesis
  6. Facial recognition, eigenfaces and synthetic discriminant functions by Muller, Neil

    Published 2012
    Get full text
    Thesis
  7. Efficient radio resource management in integrated terrestrial and non-terrestrial networks by Birabwa, Denise Joanitah

    Published 2024
    “…Simulation results reveal that as the number of users in the network increases, the acquired data rate of the MA3DQN is within 0.48% and 0.42% of that achieved by the GA and ILP, respectively, and outperforms all other algorithms. Notably, the proposed MA3DQN algorithm presents the best running time, attaining a gain of 99.9% over the GA algorithm, which performs the poorest among the algorithms characterised by polynomial worst-case time complexity. …”
    Get full text
    Thesis
  8. Evolutionary deep learning by Dufourq, Emmanuel

    Published 2019
    “…One serious challenge when implementing such networks for facial expression recognition is the large number of trainable parameters which results in long training times. We propose a novel method based on evolutionary algorithms, to reduce the number of trainable parameters whilst simultaneously retaining classification performance, and in some cases achieving superior performance. …”
    Get full text
    Thesis
  9. Study of the TR Synchronization and Video Conversion Unit by Abraham, Justin Kuruvilla

    Published 2015
    “…The output of the SVCU was then processed by a CFAR detector and gated tracking algorithms implemented in MathLang and Python. …”
    Get full text
    Thesis
  10. Sensitivity analysis of multilayer neural networks by Engelbrecht, Andries Petrus

    Published 2012
    Get full text
    Thesis
  11. Using question-specific vocabularies to support speech data collection with SALAAM by Chibuye, Kayokwa Nick

    Published 2020
    “…Speech-based Accent Learning And Articulation Mapping (SALAAM), a cross-language phoneme mapping algorithm was used to aid the study based on its implementation in an open-source tool Lex4All. …”
    Get full text
    Thesis
  12. Dental implant recognition by Kohlakala, Aviwe

    Published 2023
    Get full text
    Thesis
  13. Development and application of a machine vision system for measurement of surface roughness

    Published 2009-07
    Full Text Available
    Access Repository
    Article
  14. Performance and control of multi three-phase converter-fed non-overlapping winding wound rotor synchronous wind generator by Dube, Lucky

    Published 2022
    Get full text
    Thesis
  15. Classification of multiwavelength transients with machine learning by Sooknunan, Kimeel

    Published 2020
    “…The expected increase in performance, as more training data are acquired, is shown by training the classifier on a simulated representative training set, achieving an average accuracy of 95.8% across all 11 classes. …”
    Get full text
    Thesis
  16. Neural networks in control engineering by Trossbach, W

    Published 2023
    “…However, despite its superior modelling capability, the tests performed using the Williams and Zipser training algorithm show that such structures often fail to converge and require excessive computing power and time, when increased in size. …”
    Get full text
    Thesis
  17. Artificial neural networks and the cross-section of equity returns: identifying nonlinear opportunities on the Johannesburg Stock Exchange by Reed, Joshua

    Published 2026
    “…The activation function, training algorithm, learning rate, number of epochs, batch size, and loss function are kept constant across architectures. …”
    Get full text
    Thesis
  18. Personalized fall detection monitoring system based on user movements

    Published 2018
    Get full text
    Thesis
  19. Ancestry-independent osteometric sex estimation from selected postcranial skeletal elements of South Africans: a machine learning approach by Scott, Michelle

    Published 2023
    “…The dataset was subjected to ML algorithm training using univariate and multivariate predictor combinations. …”
    Get full text
    Thesis