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...

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Detalles Bibliográficos
Autores principales: Ajala, Sunday, Muraleedharan Jalajamony, Harikrishnan, Nair, Midhun, Marimuthu, Pradeep, Fernandez, Renny Edwin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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