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[HTML][HTML] Detection and classification of aircraft fixation elements during manufacturing processes using a convolutional neural network
The aerospace sector is one of the main economic drivers that strengthens our present,
constitutes our future and is a source of competitiveness and innovation with great …
constitutes our future and is a source of competitiveness and innovation with great …
Towards a decision-support framework for reducing ramp-up effort in plug-and-produce systems
Nowadays, shorter and more flexible production cycles are vital to meet the increasing
customised product demand. As any delays and downtimes in the production towards time …
customised product demand. As any delays and downtimes in the production towards time …
Realtime oil spill detection by image processing of synthetic aperture radar data
Marine transportation has high economic importance because the majority of the physical
goods trades occurs via sea routes. However, minor and major oil spills can occur for a …
goods trades occurs via sea routes. However, minor and major oil spills can occur for a …
Improvement of fixation elements detection in aircraft manufacturing
The requirements for accuracy and reliability in the manufacturing processes of large aircraft
structures are among the most demanding in the industry due to the continuous …
structures are among the most demanding in the industry due to the continuous …
A novel modelling of glue allowance prediction for time-pressure dispensing system based on gated recurrent unit and fully connected neural network
C LI, B GAO, Y GU, Y ZHU, Z QI - Journal of Advanced Mechanical …, 2023 - jstage.jst.go.jp
Aiming at the phenomenon that the glue output of the time-pressure pneumatic dispensing
system decreases with the decrease of the glue allowance in the glue storage tube, this …
system decreases with the decrease of the glue allowance in the glue storage tube, this …
[CITAT][C] Detection and classification of aircraft fixation elements during manufacturing processes using a convolutional neural network
L Ruiz Lozano, M Torres, A Gómez Vilanova… - 2020