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Girija, Akshay Anilkumar (2020) Autonomous Scientific Image Segregation by Means of Deep Neural Networks. Master's, TU Kaiserslautern.
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| Item URL in elib: | https://elib.dlr.de/202540/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Autonomous Scientific Image Segregation by Means of Deep Neural Networks | ||||||||
| Authors: |
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| Date: | August 2020 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Number of Pages: | 71 | ||||||||
| Status: | Published | ||||||||
| Keywords: | ML, deep neural network, image segregation, combustion diagnostics | ||||||||
| Institution: | TU Kaiserslautern | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Aeronautics | ||||||||
| HGF - Program Themes: | Propulsion Systems (old) | ||||||||
| DLR - Research area: | Aeronautics | ||||||||
| DLR - Program: | L ER - Engine Research | ||||||||
| DLR - Research theme (Project): | L - Virtual Engine and Validation Methods (old), E - Combustion and Power Plant Systems | ||||||||
| Location: | Stuttgart | ||||||||
| Institutes and Institutions: | Institute of Combustion Technology > Combustion Diagnostícs | ||||||||
| Deposited By: | Geigle, Dr. Klaus Peter | ||||||||
| Deposited On: | 06 Feb 2024 09:15 | ||||||||
| Last Modified: | 06 Feb 2024 09:15 |
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