Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion

Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion

This paper introduces a novel model based on support vector machine with radial basis function kernel (RBF-SVM) using time-series features of zebrafish (<i>Danio rerio</i>) locomotion exposed to different electromagnetic fields (EMFs) to indicate the corresponding EMF exposure. A group o...

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Bibliographic Details
Main Authors: Yaqing He, Kim Fung Tsang, Richard Yuen-Chong Kong, Yuk-Tak Chow
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
electromagnetic field (EMF) exposure
ambient environmental parameters (AEPs)
zebrafish locomotion
time-series feature
RBF-SVM classification
Online Access:https://www.mdpi.com/1424-8220/20/17/4818

Internet

https://www.mdpi.com/1424-8220/20/17/4818

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