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NuSec Detection Science Workshop 2026

11 February 2026
National Physical Laboratory
Europe/London timezone
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Workshop Information

Session

Session 3: Machine Learning and Algorithm Development

11 Feb 2026, 14:00
National Physical Laboratory

National Physical Laboratory

Teddington, UK

Conveners

Session 3: Machine Learning and Algorithm Development

  • Paul Sellin

Presentation materials

There are no materials yet.

  1. 143. Community insights on establishing a centre for AI in applied nuclear physics
    Caroline Shenton-Taylor (University of Surrey)
    11/02/2026, 14:00
    Invited Talk

    In October 2025 a one-day community workshop was convened to explore the vision, scope, and feasibility of establishing a Centre for AI in Applied Nuclear Physics, with relevance to both civil and defence domains. The event brought together researchers, industry partners, and government stakeholders for a series of interactive sessions, keynote presentations, and a community poster...

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  2. 159. Evaluating Object Detection Neural Networks for Landmine Detection: Training and Performance Analysis with Synthetic and Real-World Data
    Mr Seb Pereira (University of Bristol)
    11/02/2026, 14:30
    Oral Presentation

    Reliable UXO detection remains one of the most persistent sensing challenges due to the diversity of threats and the variability of real-world environments. This study explores the use of synthetic data to train object detection models for landmine detection. The YOLOV8n model trained on n=1000 real images achieved a mAP@50 of 0.983, a precision of 0.966 and a recall of 0.961. The best...

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  3. 169. SIGMA data threat injection methodology
    Rafael Hunt-Stokes
    11/02/2026, 14:45
    Oral Presentation

    The methodology for generation of the SIGMA hybrid datasets is described from identification of candidate regions where threats can be injected, through template generation to subsampling into background data. The proposed format for data is also discussed, comments welcome

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  4. 168. SIGMA Hybrid data overview
    Philip Martin
    11/02/2026, 15:00
    Oral Presentation

    Over the last two years, a number of datasets have been made available to the UK academic community from ~100 SIGMA detectors deployed in London during 2017-2018.  These datasets contain real threats and background, however, lack ground truth makes detailed analysis of detection probability and ID challenging.  A new dataset with injected threats (known isotope, activity, speed) into regions...

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