Assessing the Feasibility of Utilising Convolutional Neural Networks for the Detection of Cracks in Solar Cells

Hassan, Sharmarke and Dhimish, Mahmoud (Accepted: 2023) Assessing the Feasibility of Utilising Convolutional Neural Networks for the Detection of Cracks in Solar Cells. In: The 17th Photovoltaics Science, Applications and Technology (PVSAT-17 & SuperSolar) Conference, 26-28 Jun 2023. (In Press)

Metadata

Item Type: Conference or Workshop Item
Authors/Creators:
  • Hassan, Sharmarke
  • Dhimish, Mahmoud (mahmoud.dhimish@york.ac.uk)
Dates:
  • Accepted: 26 April 2023
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 09 Jun 2023 10:00
Last Modified: 04 Mar 2024 00:02
Status: In Press
Refereed: Yes

Download

Filename: IoP_Poster.pdf

Description: IoP Poster

Export

Statistics