Comparing machine learning and deep learning regression frameworks for accurate prediction of dielectrophoretic force

Comparing machine learning and deep learning regression frameworks for accurate prediction of dielectrophoretic force

Abstract 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 fr...

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Bibliographic Details
Main Authors: Sunday Ajala, Harikrishnan Muraleedharan Jalajamony, Midhun Nair, Pradeep Marimuthu, Renny Edwin Fernandez
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-16114-5

Internet

https://doi.org/10.1038/s41598-022-16114-5

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