ACE Membership: A Benchmark Study

Fault detection and isolation for a wind turbine benchmark using a mixed Bayesian/Set-membership approach

This paper addresses the problem of fault detection and isolation of wind turbines using a mixed Bayesian/Setmembership approach. Modeling errors are assumed to be unknown but bounded, following the set-membership approach. On the other hand, measurement noise is also assumed to be bounded, but following a statistical distribution inside the bounds. To avoid false alarms, the fault detection pr...

Web ACE – A Study in Reciprocal Informing

A Computer Science degree includes a compulsory final year Project subject. The Project involves the design and implementation of a real-life computer application for a client, and gives students an opportunity to work in a setting emulating a real-life information technology environment. Students undertake the Project subject together with its co-requisite subject in English Language and Commu...

MOLDY Report: Benchmark Study A Molecular Dynamics Benchmark Study: Infiniband vs. Gigabit Ethernet Performance

Rule-Mining based classification: a benchmark study

This study proposed an exhaustive stable/reproducible rule-mining algorithm combined to a classifier to generate both accurate and interpretable models. Our method first extracts rules (i.e., a conjunction of conditions about the values of a small number of input features) with our exhaustive rule-mining algorithm, then constructs a new feature space based on the most relevant rules called ”loc...

Face Classification: A Specialized Benchmark Study

Face detection evaluation generally involves three steps: block generation, face classification, and post-processing. However, firstly, face detection performance is largely influenced by block generation and postprocessing, concealing the performance of face classification core module. Secondly, implementing and optimizing all the three steps results in a very heavy work, which is a big barrie...