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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Morshed, Atique, Siraj, Farhan Md., Munim, Abu Sadat MD., Ayon, Tasnimul Karim, Goni, Saad Rafsan
مؤلفون آخرون:	Uddin, Jia
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2021
الموضوعات:	Deep learning Transfer learning Fault detection RNN LSTM Gammatone Filter Bank Artificial intelligence Cognitive learning theory
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/15759

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