Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Djavadifar A"'
Publikováno v:
In Neurocomputing 21 July 2022 495:129-152
Publikováno v:
Assembly Automation, 2019, Vol. 40, Issue 2, pp. 283-291.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AA-05-2019-0094
Autor:
Djavadifar, Abtin1 (AUTHOR), Graham-Knight, John Brandon2 (AUTHOR), Kӧrber, Marian3 (AUTHOR), Lasserre, Patricia2 (AUTHOR), Najjaran, Homayoun1 (AUTHOR) homayoun.najjaran@ubc.ca
Publikováno v:
Journal of Intelligent Manufacturing. Dec2022, Vol. 33 Issue 8, p2257-2275. 19p.
Publikováno v:
Neurocomputing. 495:129-152
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7c830d261d40d6a77d038059dd5280e
https://doi.org/10.1016/j.neucom.2022.01.022
https://doi.org/10.1016/j.neucom.2022.01.022
Autor:
Abtin Djavadifar, John Brandon Graham-Knight, Patricia Lasserre, Homayoun Najjaran, Marian Kӧrber
Publikováno v:
Journal of Intelligent Manufacturing. 33:2257-2275
Detection of fiber composite material boundaries and defects is critical to the automation of the manufacturing process in the aviation industry. This paper describes a process to evaluate four well-performing deep convolutional neural network models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::400e3802f431916a8359462dfa74b244
https://doi.org/10.1007/s10845-021-01776-1
https://doi.org/10.1007/s10845-021-01776-1
Publikováno v:
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6b1e6e5280e6b5489af9036aded3a7d
https://doi.org/10.1109/smc52423.2021.9659080
https://doi.org/10.1109/smc52423.2021.9659080
Akademický článek
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Autor:
Djavadifar, Abtin
This thesis focuses on the development of a machine learning-based vision system for quality control of composite manufacturing processes. Deep Convolutional Neural Networks (DCNNs) are used to build a real-time end-to-end solution for the complex pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ee218e4bc1d5535aafb0291adcce95a
Autor:
Kymora Scotland, John Brandon Graham-Knight, Victor K. F. Wong, Abtin Djavadifar, Dirk Lange, Homayoun Najjaran, Patricia Lasserre, Ben H. Chew
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030544065
ICSM
ICSM
A competitive model for kidney segmentation in CT scans is trained using the publicly-available KiTS19 dataset. The model performed well against the KiTS19 test dataset, achieving a Sorensen–Dice coefficient of 0.9620 when generating kidney segment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d17c9b9b0c982694c180c27ba3e632f
https://doi.org/10.1007/978-3-030-54407-2_13
https://doi.org/10.1007/978-3-030-54407-2_13
Autor:
Abtin Djavadifar, Kashish Gupta, Homayoun Najjaran, John Brandon Graham-Knight, Marian Körber, Patricia Lasserre
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030544065
ICSM
ICSM
This paper introduces an automated wrinkle detection method on semi-finished fiber products in the aerospace manufacturing industry. Machine learning, computer vision techniques, and evidential reasoning are combined to detect wrinkles during the dra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52b5cd44ab33f8c5fa143ae0ab34befc
https://doi.org/10.1007/978-3-030-54407-2_17
https://doi.org/10.1007/978-3-030-54407-2_17