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New Techniques for the rapid characterisation of low-level waste and surface contamination

New Techniques for the rapid characterisation of low-level waste and surface contamination
快速表征低放废物和表面污染的新技术
批准号:
131772
负责人:
金额:
$11.85万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --

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英文摘要
This study will explore the feasibility of adapting Symetrica's spectral-processing techniques for use in the Nuclear Power Industry. If this is successful, we expect that the process of decommissioning old plant will procede more rapidly and in a more cost-effective way. We also believe that it will also provide an improved level of security in newly built plant. This technology is currently playing a very important, and growing role in protecting ports and border crossings in several different countries around the world.
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EstimatingLarge Demand Systems with MachineLearning Techniques
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    IoshuaAlex
  • 依托单位: