Adaptive Personalized Feature Selection for underwater Acoustic Signals
Author:
Affiliation:
1. School of Electronic and Information Engineering, Anhui University,Hefei,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10651577/10651589/10652813.pdf?arnumber=10652813
Reference11 articles.
1. Underwater Acoustic Signal Classification Based on Sparse Time–Frequency Representation and Deep Learning
2. Benchmark for filter methods for feature selection in high-dimensional classification data
3. A wrapper-filter feature selection technique based on ant colony optimization
4. Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning
5. Efficient Data Collection for Connected Vehicles With Embedded Feedback-Based Dynamic Feature Selection
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