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Browsing by Subject "Machine learning"

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The automatic recognition of emotions in speech

Manamela, Phuti, John (2020)

Speech emotion recognition (SER) refers to a technology that enables machines to detect and recognise human emotions from spoken phrases. In the literature, numerous attempts have been made to develop systems that can ...
Comparative analysis of tree-based intrusion detection modelling and machine learning classification models using cyber-security dataset

Mokoele, Motlatso Sarel (2024)

Cybersecurity has become an ever-pressing concern in the modern digital landscape, demanding robust and efficient intrusion detection systems. In this research, we conducted a comparative analysis of tree-based intrusion ...
Implementing learning-based (ML-based) hybrid model to mitigate distributed denial of service (DDoS) attacks in mobile edge computing (MEC)

Chaki, Emmanuel Sibusiso (2023)

5G technology constitutes a considerable part of solving the problem of security in mobile communications. Multi-Access Edge Computing or mobile edge computing (MEC) extends the capabilities of cloud computing by locating ...
Performance evaluation of machine learning algorithms for intrusion detection

Ndleve, Nsovo Mildred (2024)

In the cyber security domain, the increasing sophistication of attacks requires the development of improved detection techniques. This research looked at the usefulness of machine learning methods, especially Decision Tree, ...
Prediction of South African crime rate using supervised machine learning techniques

Mutobvu, Ronewa (2023)

Kaggle crime statistics for South Africa were used to create machine learning categorization models. Although the techniques used in the experiments that came before this one differed, the dataset that was used was. The ...
Throughput maximization and latency optimization in fifth-generation networks using a multistage machine learning for early hybrid automatic repeat request

Hlewane, Nhlanhla Patrick (2024)

The physical layer Hybrid Automatic Repeat Request (HARQ) protocol efficiently achieves low error-rate transmission and high network reliability in the fifth generation (5G) Ultra Reliable Low Latency Communication ...

Browsing by Subject "Machine learning"

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