Predicting cervical hyperextension injury: A covariance guided sine cosine support vector machine

Predicting cervical hyperextension injury: A covariance guided sine cosine support vector machine

10.1109/ACCESS.2020.2978102

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Bibliographic Details
Main Authors: Liu, G., Jia, W., Wang, M., Heidari, A.A., Chen, H., Luo, Y., Li, C.
Other Authors: INSTITUTE OF SYSTEMS SCIENCE
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
cervical hyperextension injury
covariance
opposition-based learning
sine cosine algorithm
Support vector machine
Online Access:https://scholarbank.nus.edu.sg/handle/10635/200534
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Institution: National University of Singapore
Description
Summary:10.1109/ACCESS.2020.2978102

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