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  A risk assessment tool for highly energetic break-up events during the atmospheric re-entry 

  De Persis, Cristina (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2017)

  Most unmanned space missions end up with a destructive atmospheric re-entry. From ten to forty percent of a re-entering satellite’s mass may survive re-entry and hit the Earth’s surface. This has the potential to be a ...
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  Trinity College Dublin Drone Survey Dataset 

  DAHYOT, ROZENN; BOURKE, MARY; Byrne, Jonathan; Connolly, Julie; Su, Jing; Moloney, David; Krylov, Vladimir (School of Computer Science & Statistics, Trinity College Dublin, Trinity College Dublin, 2017)

  The dataset consists of 6 Zipped files and a Technical Report detailing the project. The original images from the drone survey are contained in the files names Images 1, Images 2, Images 3 and Images 4. The 3D mesh model ...
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  Bayesian nonparametric inference for discovery probabilities: credible intervals and large samples asymptotics 

  NIPOTI, BERNARDO (2017)
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  Joint Audio Visual Retrieval for Tennis Broadcasts 

  DAHYOT, ROZENN (2003)
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  Bayesian inference for misaligned irregular time series with application to palaeoclimate reconstruction 

  Doan, Thinh K. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2015)

  This thesis proposes new Bayesian methods to jointly analyse misaligned irregular time series. Temporal misalignment occurs wdien multiple irregularly spaced time series are considered together, or when the time periods ...

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