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Comparing machine learning and deep learning regression frameworks for accurate prediction of dielectrophoretic force
An intelligent sensing framework using Machine Learning (ML) and Deep Learning (DL) architectures to precisely quantify dielectrophoretic force invoked on microparticles in a textile electrode-based DEP sensing device is reported. The prediction accuracy and generalization ability of the framework w...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279499/ https://www.ncbi.nlm.nih.gov/pubmed/35831342 http://dx.doi.org/10.1038/s41598-022-16114-5 |