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[PRE REVIEW]: Deep-Waste: An app that manages household waste using deep learning #6166
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Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search deepCR: Cosmic Ray Rejection with Deep Learning ADaPT-ML: A Data Programming Template for Machine Learning MatDL: A Lightweight Deep Learning Library in MATLAB Beiwe: A data collection platform for high-throughput digital phenotyping |
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Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search deepCR: Cosmic Ray Rejection with Deep Learning ADaPT-ML: A Data Programming Template for Machine Learning MatDL: A Lightweight Deep Learning Library in MATLAB Delira: A High-Level Framework for Deep Learning in Medical Image Analysis |
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Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search deepCR: Cosmic Ray Rejection with Deep Learning MatDL: A Lightweight Deep Learning Library in MATLAB ADaPT-ML: A Data Programming Template for Machine Learning Delira: A High-Level Framework for Deep Learning in Medical Image Analysis |
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Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search deepCR: Cosmic Ray Rejection with Deep Learning ADaPT-ML: A Data Programming Template for Machine Learning MatDL: A Lightweight Deep Learning Library in MATLAB Delira: A High-Level Framework for Deep Learning in Medical Image Analysis |
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Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search deepCR: Cosmic Ray Rejection with Deep Learning ADaPT-ML: A Data Programming Template for Machine Learning Delira: A High-Level Framework for Deep Learning in Medical Image Analysis MatDL: A Lightweight Deep Learning Library in MATLAB |
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Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search deepCR: Cosmic Ray Rejection with Deep Learning MatDL: A Lightweight Deep Learning Library in MATLAB Beiwe: A data collection platform for high-throughput digital phenotyping ADaPT-ML: A Data Programming Template for Machine Learning |
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Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search deepCR: Cosmic Ray Rejection with Deep Learning MatDL: A Lightweight Deep Learning Library in MATLAB Beiwe: A data collection platform for high-throughput digital phenotyping ADaPT-ML: A Data Programming Template for Machine Learning |
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Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search gobbli: A uniform interface to deep learning for text in Python ADaPT-ML: A Data Programming Template for Machine Learning deepCR: Cosmic Ray Rejection with Deep Learning AuDoLab: Automatic document labelling and classification for extremely unbalanced data |
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Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search gobbli: A uniform interface to deep learning for text in Python ADaPT-ML: A Data Programming Template for Machine Learning deepCR: Cosmic Ray Rejection with Deep Learning AuDoLab: Automatic document labelling and classification for extremely unbalanced data |
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Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search gobbli: A uniform interface to deep learning for text in Python ADaPT-ML: A Data Programming Template for Machine Learning AuDoLab: Automatic document labelling and classification for extremely unbalanced data deepCR: Cosmic Ray Rejection with Deep Learning |
@editorialbot generate pdf |
Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search ADaPT-ML: A Data Programming Template for Machine Learning AuDoLab: Automatic document labelling and classification for extremely unbalanced data gobbli: A uniform interface to deep learning for text in Python deepCR: Cosmic Ray Rejection with Deep Learning |
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Five most similar historical JOSS papers: gobbli: A uniform interface to deep learning for text in Python ADaPT-ML: A Data Programming Template for Machine Learning DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search AuDoLab: Automatic document labelling and classification for extremely unbalanced data Delira: A High-Level Framework for Deep Learning in Medical Image Analysis |
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Five most similar historical JOSS papers: DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search ADaPT-ML: A Data Programming Template for Machine Learning deepCR: Cosmic Ray Rejection with Deep Learning gobbli: A uniform interface to deep learning for text in Python Delira: A High-Level Framework for Deep Learning in Medical Image Analysis |
@arfon I have revised the paper significantly to help reviewers better understand it. |
@sumn2u, thanks again for your submission to JOSS. After consideration by the JOSS team, we have determined this doesn't fit our definition of research software as defined by JOSS. This does not mean that it is not software that is useful in research, but just that JOSS does not publish submissions like this. I also note that the editorial team would consider this submission a duplicate of your earlier paper, so even if the software were in scope, this would prevent publication here too. |
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Paper rejected. |
Submitting author: @sumn2u (Suman Kunwar)
Repository: https://github.com/sumn2u/deep-waste-app
Branch with paper.md (empty if default branch): develop
Version: 1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Arfon Smith
Status
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