Infrared thermography based defect analysis of photovoltaic modules using machine learning

Infrared thermography based defect analysis of photovoltaic modules using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.

Opis bibliograficzny
Główni autorzy:	Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Kolejni autorzy:	Rahman, Md. Mosaddequr
Format:	Praca dyplomowa
Język:	en_US
Wydane:	Brac University 2021
Hasła przedmiotowe:	Infrared thermography YOLO Photovoltaic Hotspot Machine learning
Dostęp online:	http://hdl.handle.net/10361/14367

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