Twisted pair cable fault diagnosis via random forest machine learning
Applying the fault diagnosis techniques to twisted pair copper cable is beneficial to improve the stability and reliability of internet access in Digital Subscriber Line (DSL) Access Network System. The network performance depends on the occurrence of cable fault along the copper cable. Currently...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tech Science Press
2022
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6899/1/J14092_e1740ec39d908019e6fd019d22b17343.pdf http://eprints.uthm.edu.my/6899/ https://doi.org/10.32604/cmc.2022.023211 |
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