Ensemble filters with harmonize PSO-SVM algorithm for optimal hearing disorder prediction
Discovering a hearing disorder at an earlier intervention is critical for reducing the effects of hearing loss and the approaches to increase the remaining hearing ability can be implemented to achieve the successful development of human communication. Recently, the explosive dataset features have i...
Saved in:
Main Authors: | Tengku Ab. Hamid, Tengku Mazlin, Sallehuddin, Roselina, Mohd. Yunos, Zuriahati, Ali, Aida |
---|---|
Format: | Article |
Published: |
Springer-Verlag London Ltd.
2023
|
Subjects: | |
Online Access: | http://eprints.utm.my/106030/ http://dx.doi.org/10.1007/s00521-023-08244-2 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ensemble based filter feature selection with harmonize Particle Swarm Optimization and Support Vector Machine for optimal cancer classification
by: Tengku Ab. Hamid, Tengku Mazlin, et al.
Published: (2021) -
Ensemble filters with harmonize algorithm for optimal solutions in medical datasets
by: Tengku Ab. Hamid, Tengku Mazlin
Published: (2021) -
Utilization of filter feature selection with support vector machine for tumours classification
by: Tengku Mazlin, T. A. H., et al.
Published: (2020) -
Predictive modelling for motor insurance claims using artificial neural networks
by: Mohd. Yunos, Zuriahati, et al.
Published: (2016) -
Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm
by: Hameed, S. S., et al.
Published: (2017)