A wrapper-based feature selection approach using Bees Algorithm for a wood defect classification system
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7131933/7151900/07151902.pdf?arnumber=7151902
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Real-time detection of wood defects based on SPP-improved YOLO algorithm;Multimedia Tools and Applications;2023-02-09
2. Hybrid Nature-Inspired Based Oversampling and Feature Selection Approach for Imbalance Data Streams Classification;2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON);2023-02-08
3. Bees Algorithm Models for the Identification and Measurement of Tool Wear;Springer Series in Advanced Manufacturing;2022-11-20
4. Bio-inspired wrapper-based feature selection: does the choice of metric matter?;2022 International Conference on Smart Systems and Technologies (SST);2022-10-19
5. An Overview on Nature-Inspired Optimization Algorithms and Their Possible Application in Image Processing Domain;Pattern Recognition and Image Analysis;2020-10
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