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pro vyhledávání: '"Farzin Khodaveisi"'
Autor:
Farzin Khodaveisi, Hamidreza Karami, Matin Zarei Karimpour, Marcos Rubinstein, Farhad Rachidi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract This paper presents a comparison of machine learning (ML) methods used for three-dimensional localization of partial discharges (PD) in a power transformer tank. The study examines ML and deep learning (DL) methods, ranging from support vect
Externí odkaz:
https://doaj.org/article/80512271dbb145ef9967012526e9b1fa