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MATLAB code for custom 1D-CNN in support of article titled: "Exploring Important Features in Continuous Spectral Datasets using Supervised Learning"

La Trobe University
Rongjie Sun (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26181/31796923.v1&rft.title=MATLAB code for custom 1D-CNN in support of article titled: Exploring Important Features in Continuous Spectral Datasets using Supervised Learning&rft.identifier=10.26181/31796923.v1&rft.publisher=La Trobe University&rft.description=A MATLAB function that initialises the custom 1D-CNN layers and training options used in the article titled: Exploring Important Features in Continuous Spectral Datasets using Supervised Learning. Requires MATLAB's Deep Learning Toolbox to run.&rft.creator=Rongjie Sun&rft.date=2026&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Physical sciences&rft_subject=Spectral analysis&rft_subject=Convolutional Neurak Network&rft_subject=ToF-SIMS: time of flight secondary ion mass spectroscopy&rft_subject=SAXS: small angle X-ray scattering&rft_subject=MATLAB&rft_subject=Machine learning&rft.type=Computer Program&rft.language=English Access the software
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A MATLAB function that initialises the custom 1D-CNN layers and training options used in the article titled: "Exploring Important Features in Continuous Spectral Datasets using Supervised Learning". Requires MATLAB's Deep Learning Toolbox to run.

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Convolutional Neurak Network | MATLAB | Machine learning | Physical sciences | SAXS: small angle X-ray scattering | Spectral analysis | ToF-SIMS: time of flight secondary ion mass spectroscopy |

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