A comparison of machine learning methods for knowledge extraction model in A LoRa-Based waste bin monitoring system
Knowledge Extraction Model (KEM) is a system that extracts knowledge through an IoT-based smart waste bin emptying scheduling classification. Classification is a difficult problem and requires an efficient classification method. This research contributes in the form of the KEM system in the classifi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Universitas Ahmad Dahlan
2024
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29547/2/0064411092025.pdf http://eprints.utem.edu.my/id/eprint/29547/ https://ijain.org/index.php/IJAIN/article/view/1026/ijain_vol10i1_pp79-93 https://doi.org/10.26555/ijain.v10i1.1026 |
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