— We propose a new approach to the problem of schema matching in relational databases that merges the hybrid and composite approach of combining multiple individual matching tech...
In this multi-university collaborative research, we will develop a framework for the dynamic data-driven fault diagnosis of wind turbines which aims at making the wind energy a com...
Yu Ding, Eunshin Byon, Chiwoo Park, Jiong Tang, Yi...
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Biomedical research on human subjects often requires a large amount of data to be collected by personal interviews, Internet based questionnaires, lab measurements or by extracting...
Protection of digital multimedia content has become an increasingly important issue for content owners and service providers. As watermarking is identified as a major technology t...