Discovery Early Career Researcher Award - Grant ID: DE130100911 [ 2013 - 2015 ]

Research Grant

[Cite as]

Researchers Dr Jing He

Brief description This study will develop a new kernel-based and online support vector regression method for real-time and correlated multiple time series and promote their use in critical applications, which will save money and lives. Examples include the detection of stock market crisis events and detection of patients' condition deterioration in the operating theatre.

Funding Amount $339,434

Funding Scheme Discovery Early Career Researcher Award

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