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Found 3 matching student topics

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Gamified process-data cleaning

Despite the importance of data quality, it is often compromised. The majority of the time and energy in most data science projects is spent on data cleaning. Process-oriented data mining (process mining) is not an exception. A recent process mining survey shows that more than 60% of the time and effort is spent on data transformation and pre-processing. While, in most cases, the engagement of domain experts is required for accurate data cleaning, it is challenging to engage them in …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Understanding user behaviours of kinetic energy harvesting

Kinetic energy harvesters are used in devices such as wearable fitness trackers and smartwatches to capture energy from human movement to prolong battery life. They are emerging as both an energy source and a means to provide context information for recognizing human physical activities like exercising or walking (Sandhu et al, 2023).Kinetic energy harvesters provide several benefits, including cost reduction associated with battery replacement and maintenance, minimizing electronic waste, and decreasing the carbon footprint related to energy production and disposal. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Understanding user behaviour in virtual power plant (VPP) communities

Virtual power plants (VPP) provide a viable solution to integrate intermittent renewable energy sources into the grid, where a transition from centralized to decentralized energy distribution can provide economic and ecological benefits and facilitate citizen empowerment and a sense of community. However, consumers are reluctant to adopt distributed energy systems such as rooftop solar panels and household and community battery storage, which provide electricity generation and storage technologies that are located close to the point of use, as opposed to …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

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