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Articles 1 - 4 of 4
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Imputation, Modelling And Optimal Sampling Design For Digital Camera Data In Recreational Fisheries Monitoring, Ebenezer Afrifa-Yamoah
Imputation, Modelling And Optimal Sampling Design For Digital Camera Data In Recreational Fisheries Monitoring, Ebenezer Afrifa-Yamoah
Theses: Doctorates and Masters
Digital camera monitoring has evolved as an active application-oriented scheme to help address questions in areas such as fisheries, ecology, computer vision, artificial intelligence, and criminology. In recreational fisheries research, digital camera monitoring has become a viable option for probability-based survey methods, and is also used for corroborative and validation purposes. In comparison to onsite surveys (e.g. boat ramp surveys), digital cameras provide a cost-effective method of monitoring boating activity and fishing effort, including night-time fishing activities. However, there are challenges in the use of digital camera monitoring that need to be resolved. Notably, missing data problems and the cost …
A Defensive Strategy For Detecting Targeted Adversarial Poisoning Attacks In Machine Learning Trained Malware Detection Models, Adrian Michael Wood
A Defensive Strategy For Detecting Targeted Adversarial Poisoning Attacks In Machine Learning Trained Malware Detection Models, Adrian Michael Wood
Theses: Doctorates and Masters
Machine learning is a subset of Artificial Intelligence which is utilised in a variety of different fields to increase productivity, reduce overheads, and simplify the work process through training machines to automatically perform a task. Machine learning has been implemented in many different fields such as medical science, information technology, finance, and cyber security. Machine learning algorithms build models which identify patterns within data, which when applied to new data, can map the input to an output with a high degree of accuracy. To build the machine learning model, a dataset comprised of appropriate examples is divided into training and …
An Investigation Into The Efficacy Of Url Content Filtering Systems, Brett Ronald Turner
An Investigation Into The Efficacy Of Url Content Filtering Systems, Brett Ronald Turner
Theses: Doctorates and Masters
Content filters are used to restrict to restrict minors from accessing to online content deemed inappropriate. While much research and evaluation has been done on the efficiency of content filters, there is little in the way of empirical research as to their efficacy. The accessing of inappropriate material by minors, and the role content filtering systems can play in preventing the accessing of inappropriate material, is largely assumed with little or no evidence. This thesis investigates if a content filter implemented with the stated aim of restricting specific Internet content from high school students achieved the goal of stopping students …
Evaluating The Relative Importance Of Stormwater For Nutrient And Metal Contamination To The Urban, Groundwater Dependent Yellagonga Wetlands, Through Wetland Budgeting, Jonas Polifka
Theses: Doctorates and Masters
Wetlands provide numerous ecosystem services and can be utilised as pollutant sinks, however excessive contamination of wetlands can induce adverse effects to wetland ecology and lead to degradation of its values. Runoff from precipitation mobilizes contaminants from impervious surfaces which are, in some case, transported directly to wetlands through stormwater drainage. Urban stormwater can be a significant source of contaminants to wetlands, although its overall importance needs to be assessed for each wetland individually. Wetland budgeting is a management tool used to evaluate the relative importance of contaminant sources to wetlands, by comparing contaminant loads. Environmental management of the Yellagonga …