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A deep 1-D CNN learning approach with data augmentation for classification of Parkinson’s disease and scans without evidence of dopamine deficit (SWEDD)
Research article (Biomedical Signal Processing and Control, 2024) · cited 13× · AI/ML
A deep 1-D CNN learning approach with data augmentation for classification of Parkinson’s disease and scans without evidence of dopamine deficit (SWEDD)
Summary
A deep 1-D CNN learning approach with data augmentation for classification of Parkinson’s disease and scans without evidence of dopamine deficit (SWEDD) is a scholarly article[1].
Key Facts
A deep 1-D CNN learning approach with data augmentation for classification of Parkinson’s disease and scans without evidence of dopamine deficit (SWEDD)'s instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A deep 1-D CNN learning approach with data augmentation for classification of Parkinson’s disease and scans without evidence of dopamine deficit (SWEDD). Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-1-d-cnn-learning-approach-with-data-augmentation-for-classification-of-parkinsons-disease-and-scans-without-evide
MLA“A deep 1-D CNN learning approach with data augmentation for classification of Parkinson’s disease and scans without evidence of dopamine deficit (SWEDD).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-1-d-cnn-learning-approach-with-data-augmentation-for-classification-of-parkinsons-disease-and-scans-without-evide.
BibTeX@misc{4ortxyz_a-deep-1-d-cnn-learning-approach-with-data-augmentation-for-classification-of-parkinsons-disease-and-scans-without-evide_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep 1-D CNN learning approach with data augmentation for classification of Parkinson’s disease and scans without evidence of dopamine deficit (SWEDD)}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-1-d-cnn-learning-approach-with-data-augmentation-for-classification-of-parkinsons-disease-and-scans-without-evide}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep 1-D CNN learning approach with data augmentation for classification of Parkinson’s disease and scans without evidence of dopamine deficit (SWEDD) — https://4ort.xyz/entity/a-deep-1-d-cnn-learning-approach-with-data-augmentation-for-classification-of-parkinsons-disease-and-scans-without-evide (retrieved 2026-05-24)
