BeeNet: Reconstructing Flower Shapes from Electric Fields using Deep Learning

Training data for a deep learning model to reconstructing flower shapes from electric fields. Link to paper: https://doi.org/10.48550/arXiv.2508.11724 Link to github: https://github.com/turleyjm/BeeNet

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-15
DOI
https://doi.org/10.5281/zenodo.16879470
Primary Topic
Plant and Biological Electrophysiology Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

BeeNet: Reconstructing Flower Shapes from Electric Fields using Deep Learning

Zenodo (CERN European Organization for Nuclear Research)
Plant and Biological Electrophysiology Studies
article

BeeNet: Reconstructing Flower Shapes from Electric Fields using Deep Learning

article en

Abstract

Training data for a deep learning model to reconstructing flower shapes from electric fields. Link to paper: https://doi.org/10.48550/arXiv.2508.11724 Link to github: https://github.com/turleyjm/BeeNet

Zenodo (CERN European Organization for Nuclear Research)
National University of Singapore (SG), University of Bristol (GB)
Openalex Percentile: Top 44%
Plant and Biological Electrophysiology Studies
DOIOpen Access PDFOpenAlex
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BeeNet: Reconstructing Flower Shapes from Electric Fields using Deep Learning · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS