📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! Tell us what works, what doesn't, and how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community. Please send your feedback to gateway@ukri.org by 11 August 2025.

Convolutional Neural Networks for Challenges in Automated Nuclide Identification (2021)

First Author: Turner A

Attributed to: Birmingham Nuclear Physics Consolidated Grant 2020 funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3390/s21155238

Publication URI: http://dx.doi.org/10.3390/s21155238

Type: Journal Article/Review

Parent Publication: Sensors

Issue: 15