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Research Topic : Ophthalmic Image Database
Field of Research : Conceptual Modelling
Australian State/Territory : NSW
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  • Funded Activity

    Discovery Projects - Grant ID: DP160104515

    Funder
    Australian Research Council
    Funding Amount
    $557,000.00
    Summary
    Integrating Quality Control into Crowd-sourcing Services. This project aims to contribute to the scientific foundations of quality control in crowd-sourcing services. Crowd-sourcing services harness the wisdom of large communities to solve problems. Open projects (eg Linux, Wikipedia) have successfully used crowd sourcing. Increasingly, organisations and governments are using crowd-sourcing to improve products and services. However, there are significant risks due to lack of robust quality contr .... Integrating Quality Control into Crowd-sourcing Services. This project aims to contribute to the scientific foundations of quality control in crowd-sourcing services. Crowd-sourcing services harness the wisdom of large communities to solve problems. Open projects (eg Linux, Wikipedia) have successfully used crowd sourcing. Increasingly, organisations and governments are using crowd-sourcing to improve products and services. However, there are significant risks due to lack of robust quality control methods. The project aims to contribute to the first methodology and techniques for systematic provisioning of robust crowd-sourcing quality control mechanisms. It is expected that project outcomes would contribute to lifting productivity and economic growth through quality-aware crowd sourcing service technologies.
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    Funded Activity

    Discovery Projects - Grant ID: DP0557572

    Funder
    Australian Research Council
    Funding Amount
    $218,000.00
    Summary
    A Framework for Supporting Consistent and Reliable Collaborative Business Transactions. Business integration and enterprise computing is at the heart of ICT objectives and initiatives global wide. The project aims to be of unique value to Australian industry and provide a means to achieve excellence in the field of research that promises to shape the future of e-business technology. The research conducted within this project will position Australia as one of the leaders in the business transacti .... A Framework for Supporting Consistent and Reliable Collaborative Business Transactions. Business integration and enterprise computing is at the heart of ICT objectives and initiatives global wide. The project aims to be of unique value to Australian industry and provide a means to achieve excellence in the field of research that promises to shape the future of e-business technology. The research conducted within this project will position Australia as one of the leaders in the business transaction area. The project outcomes in the form of specifications and formal models will provide generic solutions that are applicable to many Australian and international companies involved in distributed computing and e-business technologies.
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    Funded Activity

    Discovery Projects - Grant ID: DP150102966

    Funder
    Australian Research Council
    Funding Amount
    $369,900.00
    Summary
    Federated Cloud Services Configuration and Orchestration. Cloud computing allows organisations to expand or contract their computing footprint based on existing demand. However, existing cloud delivery models support individual segregated and heterogeneous functionalities, which prevent effective coordinated combination of on-premise and off-premise applications, services, and resources. This project aims to significantly contribute to the scientific foundations for the model-driven and elastic .... Federated Cloud Services Configuration and Orchestration. Cloud computing allows organisations to expand or contract their computing footprint based on existing demand. However, existing cloud delivery models support individual segregated and heterogeneous functionalities, which prevent effective coordinated combination of on-premise and off-premise applications, services, and resources. This project aims to significantly contribute to the scientific foundations for the model-driven and elastic configuration and orchestration of resources over heterogeneous cloud services. The outcomes of the project aim to contribute to lifting productivity and economic growth through interoperable and elastic cloud service technologies as well as delivering appropriate skills for the new digital economy.
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    Funded Activity

    Discovery Projects - Grant ID: DP120102876

    Funder
    Australian Research Council
    Funding Amount
    $320,000.00
    Summary
    Adaptive cyber-physical technologies with attention driven commonsense behaviours. Designing intelligent cyber-physical systems for open, complex and changing environments presents enormous scientific challenges. This project will develop an innovative framework, methods and tools that provide cyber-physical technologies with attention based commonsense capabilities for adapting to new, unexpected and unforeseen situations.
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    Funded Activity

    Linkage Projects - Grant ID: LP120100659

    Funder
    Australian Research Council
    Funding Amount
    $220,000.00
    Summary
    A framework for physical and social collaboration: towards the smarter planet vision. This project will make intelligent collaborative technologies a reality by advancing the theory of collaborative action and developing an innovative framework and practical methods which will allow intelligent systems to undertake the collaborative actions required for applications in transport, energy management, sustainability, and healthcare.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE170101415

    Funder
    Australian Research Council
    Funding Amount
    $365,000.00
    Summary
    Life-long learning in the understanding of big data. This project aims to design and develop computational systems and algorithms that learn as humans do (life-long learning). This will enable systems to automatically interpret Big Data from social media, social network and public surveillance. This project will apply the knowledge learned in auxiliary Big Data sources to effectively interpret target tasks and analyse the communication network (one variant of social network). This project is exp .... Life-long learning in the understanding of big data. This project aims to design and develop computational systems and algorithms that learn as humans do (life-long learning). This will enable systems to automatically interpret Big Data from social media, social network and public surveillance. This project will apply the knowledge learned in auxiliary Big Data sources to effectively interpret target tasks and analyse the communication network (one variant of social network). This project is expected to benefit science, society and the economy, and help governments to better serve the public by improving transport logistics, modelling and regulation, and preventing crime and terrorism.
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    Showing 1-6 of 6 Funded Activites

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