Jose, Basil (2022) DNN-based autonomous instance segmentation of scientific images. Master's, TU Bergakademie Freiberg.
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Item URL in elib: | https://elib.dlr.de/193489/ | ||||||||
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Document Type: | Thesis (Master's) | ||||||||
Title: | DNN-based autonomous instance segmentation of scientific images | ||||||||
Authors: |
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Date: | December 2022 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | No | ||||||||
Number of Pages: | 62 | ||||||||
Status: | Published | ||||||||
Keywords: | machine learning, image processing, combustion | ||||||||
Institution: | TU Bergakademie Freiberg | ||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||
HGF - Program: | Aeronautics | ||||||||
HGF - Program Themes: | Clean Propulsion | ||||||||
DLR - Research area: | Aeronautics | ||||||||
DLR - Program: | L CP - Clean Propulsion | ||||||||
DLR - Research theme (Project): | L - Virtual Engine, 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: | 24 Jan 2023 08:56 | ||||||||
Last Modified: | 24 Jan 2023 08:56 |
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