Browsing Philosophiae Doctor - PhD (Computer Science) by Issue Date
Now showing items 21-26 of 26
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The development of a computer science curriculum for the higher technical and vocational institutions in Libya
(University of the Western Cape, 2019)The aim of the study was to develop a framework to align the Computer Science curricula of higher technical and vocational institutions in Libya with the curriculum as proposed by the Association for Computing Machinery, ... -
Predictors of design and adoption of collaborative elearning environments: a multi-method analysis
(University of Western Cape, 2020)Research has shown that collaborative eLearning can provide educational opportunities to groups of learners; both distance learners as well as traditional campus-based learners. It provides innovative educational methods ... -
Resource management in the cloud: An end-to-end Approach
(University of Western Cape, 2020)Cloud Computing enables users achieve ubiquitous on-demand , and convenient access to a variety of shared computing resources, such as serves network, storage ,applications and more. As a business model, Cloud Computing ... -
Voice and rural wireless mesh community networks: a framework to quantify scalability and manage end-user smartphone battery consumption
(University of Western Cape, 2021)Community wireless mesh initiatives are a pioneering option to cheap ‘last-mile’ access to network services for rural low-income regions primarily located in Sub-Saharan Africa and Developing Asia. However, researchers ... -
The application of statistical and machine learning techniques for DDOS detection in network information systems
(University of the Western Cape, 2022)A surge of large-scale Distributed Denial of Service (DDoS) attacks has swept the internet in recent years, possibly presenting a serious threat to industry internet service offerings. These attacks take advantage of ... -
A framework for the analysis of discrete irregular patterned sequential datasets
(University of the Western Cape, 2023)Trial-and-error is often used for developing new deep learning models. There is no systematic procedure for improving existing models for predicting irregular sequential time-series. This research developed a systematic ...