Design of software-oriented technician for vehicle’s fault system prediction using AdaBoost and random forest classifiers
Author(s) -
M. Kiruba Thomas,
S. Sumathi
Publication year - 2022
Publication title -
international journal of engineering science and technology
Language(s) - English
Resource type - Journals
ISSN - 2141-2839
DOI - 10.4314/ijest.v14i1.4
Subject(s) - random forest , python (programming language) , computer science , adaboost , machine learning , artificial intelligence , fault detection and isolation , data mining , ensemble learning , classifier (uml) , operating system , actuator
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