Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100183
Funder
Australian Research Council
Funding Amount
$950,000.00
Summary
Protein Quantitation Centre of South Australia renewal for Systems Biology. This application aims to renew Mass Spectrometry (MS) instrumentation to characterise and quantify Biomolecules towards a better understanding of biological processes. UniSA, Uni Adelaide, Flinders have established the Protein Quantitation Centre of South Australia (PQCSA) in 2013 through an ARC LIEF lead by CI Hoffmann and this application will renew and expand MS capacity towards metabolites, glycans and lipids. This ....Protein Quantitation Centre of South Australia renewal for Systems Biology. This application aims to renew Mass Spectrometry (MS) instrumentation to characterise and quantify Biomolecules towards a better understanding of biological processes. UniSA, Uni Adelaide, Flinders have established the Protein Quantitation Centre of South Australia (PQCSA) in 2013 through an ARC LIEF lead by CI Hoffmann and this application will renew and expand MS capacity towards metabolites, glycans and lipids. This will enable researchers in South Australia to work towards a full understanding of biological processes and towards expanding their knowledge to Systems Biology. Expected outcome of the projects are multiple interdisciplinary collaborations between the CI's and should provide significant benefits in research outputs.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less