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Found 2 matching student topics

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Transport big data analytics: Imputing missing data

The missing data problem is often unavoidable for real-world data collection systems because of a variety of factors, such as sensor malfunctioning, maintenance work, transmission errors, and so on. Filling in missing information in a dataset is an important requirement for many machine-learning algorithms that require a complete dataset as input. Data imputation algorithms aim at filling the missing information in a dataset. Many missing data imputation techniques exist in the literature, with applications demonstrated on various types of datasets. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
Centre for Data Science

Blast response and safety assessment of transport tunnels

Transport tunnels are important components of the transport systems in major cities. They can be vulnerable to bomb explosions caused by accidental or deliberate means.This project will evaluate the vulnerability of transport tunnels to credible blast events and the influence of key parameters. We'll then propose measures to mitigate the adverse effects of such explosions to maximise the safety of passengers, infrastructure and transport vehicles.

Study level
PhD
Faculty
Faculty of Business and Law
School
School of Accountancy

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