Thesiss

Traditional parametric Common Cause Failure (CCF) models quantify the soft dependencies between component failures through the use of empirical ratio relationships. Furthermore CCF modeling has been essentially restricted to identical components in redundant formations. While th…

It is crucial that modern industrial plants maintain a safe environment in which processes can run efficiently. To achieve this, processes are being monitored via sensors and associated alarms. Data obtained through the monitoring system is displayed to human operators who must …

Highway traffic safety is an issue that confronts developing countries as well as those of industrialized nations. A lot of people are injured and/or killed all over the world each day on highway traffic related crashes. Nigeria, as a developing country, has been experiencing un…

Existing data discovery research as part of earth observation data infrastructure efforts overly relies on data portal users’ interactions and search behaviors. Moreover, the incorporation of the semantic characteristics of such spatiotemporal data in data discovery is not suffi…

Wrapper feature selection approaches are widely used to select a small subset of relevant features from a dataset. However, Wrappers suffer from the fact that they only use a single classifier when selecting the features. The problem of using a single classifier is that each cla…

Bayesian network (BN) structure learning from data has been an active research area in the machine learning field in recent decades. Much of the research has considered BN structure learning as an optimization problem. However, the finding of optimal BN from data is NP-hard. Thi…