A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Detaylı Bibliyografya
Asıl Yazarlar:	Morshed, Atique, Siraj, Farhan Md., Munim, Abu Sadat MD., Ayon, Tasnimul Karim, Goni, Saad Rafsan
Diğer Yazarlar:	Uddin, Jia
Materyal Türü:	Tez
Dil:	English
Baskı/Yayın Bilgisi:	Brac University 2021
Konular:	Deep learning Transfer learning Fault detection RNN LSTM Gammatone Filter Bank Artificial intelligence Cognitive learning theory
Online Erişim:	http://hdl.handle.net/10361/15759

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