Open AccessTwisted Pair Cable Fault Diagnosis via Random Forest Machine Learning
Author(s) -
Nurul Bashirah Ghazali,
Fauziahanim Che Seman,
Khalid Isa,
Khairun Nidzam Ramli,
Zaheera Zainal Abidin,
Saizalmursidi Md Mustam,
Mohammed Al Haek,
Ahmadun Nijar Zainal Abidin,
A. Asrokin
Publication year - 2022
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.023211
Subject(s) - troubleshooting , digital subscriber line , fault (geology) , fault indicator , fault detection and isolation , computer science , fault coverage , stuck at fault , random forest , engineering , real time computing , reliability engineering , algorithm , artificial intelligence , computer network , electrical engineering , electronic circuit , actuator , seismology , geology
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