PermeabilityNets: Comparing Neural Network Architectures on a Sequence-to-Instance Task in CFRP Manufacturing
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021. ed. / M. Arif Wani; Ishwar K. Sethi; Weisong Shi; Guangzhi Qu; Daniela Stan Raicu; Ruoming Jin. Institute of Electrical and Electronics Engineers, 2021. p. 694-697 (Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - PermeabilityNets
T2 - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021
AU - Stieber, Simon
AU - Schroter, Niklas
AU - Fauster, Ewald
AU - Schiendorfer, Alexander
AU - Reif, Wolfgang
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021
Y1 - 2021
KW - Architecture comparison
KW - CFRP
KW - Digital Twin
KW - Industry 4.0
KW - LCM
KW - Sequence-to-Instance Learning
UR - http://www.scopus.com/inward/record.url?scp=85125839572&partnerID=8YFLogxK
U2 - 10.1109/ICMLA52953.2021.00116
DO - 10.1109/ICMLA52953.2021.00116
M3 - Conference contribution
AN - SCOPUS:85125839572
T3 - Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021
SP - 694
EP - 697
BT - Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021
A2 - Wani, M. Arif
A2 - Sethi, Ishwar K.
A2 - Shi, Weisong
A2 - Qu, Guangzhi
A2 - Raicu, Daniela Stan
A2 - Jin, Ruoming
PB - Institute of Electrical and Electronics Engineers
Y2 - 13 December 2021 through 16 December 2021
ER -