Deep con volutional neural network for multiple defect detection and classification in photovoltaic(PV) module
Waqas Irshad (191405009)
Deep con volutional neural network for multiple defect detection and classification in photovoltaic(PV) module - Faisalabad (unpublished) 2021 - xiii, 68 p. : ill. ; 30 cm.
Submitted in fulfillment of the requirements for the degree of Master of Science in computer science to the Faculty of Computing. Includes bibliographical references. Thesis supervisor: Waqas Irshad
Thesis(MS)--Riphah International University, 2021
English
Neural Network
(PV) module--CNN model training--Technology--Google Colab--Deep convolutional-- Multy Crystalline--Computer technology--FC
621.395X / WAQ
Deep con volutional neural network for multiple defect detection and classification in photovoltaic(PV) module - Faisalabad (unpublished) 2021 - xiii, 68 p. : ill. ; 30 cm.
Submitted in fulfillment of the requirements for the degree of Master of Science in computer science to the Faculty of Computing. Includes bibliographical references. Thesis supervisor: Waqas Irshad
Thesis(MS)--Riphah International University, 2021
English
Neural Network
(PV) module--CNN model training--Technology--Google Colab--Deep convolutional-- Multy Crystalline--Computer technology--FC
621.395X / WAQ