Výsledky vyhledávání - "multimodal autoencoder"

Automatic Feature Extraction for Bearings’ Degradation Assessment using Minimally Pre-processed Time series and Multi-modal Feature Learning

Autoři: Antonio L. Alfeo Mario G. C. A. Cimino Guido Gagliardi

Zdroj: Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics. :94-103

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Feature learning, Data fusion, Deep learning, Multimodal autoencoder, Contrastive learning, Predictive maintenance, Smart manufacturing

Přístupová URL adresa: https://www.scitepress.org/Link.aspx?doi=10.5220/0011548000003329
https://hdl.handle.net/11568/1151403
https://doi.org/10.5220/0011548000003329

Recognizing Bearings’ Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series

Autoři: Alfeo A. L. Cimino M. G. C. A. Gagliardi G.

Zdroj: SN Computer Science. 5

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Contrastive learning, Data fusion, Deep feature learning, Multimodal autoencoder, Predictive maintenance, Smart manufacturing

Deep multimodal autoencoder for crack criticality assessment

Autoři: Hugo Launay David Ryckelynck Laurent Lacourt a další

Přispěvatelé: Hugo Launay David Ryckelynck Laurent Lacourt a další

Zdroj: International Journal for Numerical Methods in Engineering. 123:1456-1480

Témata: Digital Twin, Finite Element Method, 0202 electrical engineering, electronic engineering, information engineering, Multimodal autoencoder, Transfer Learning, 02 engineering and technology, CNN, [SPI.MAT]Engineering Sciences [physics]/Materials

Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data

Autoři: Md. Rezaul Karim Galih Wicaksono Ivan G. Costa a další

Zdroj: IEEE Access, Vol 7, Pp 133850-133864 (2019)
IEEE access 7, 133850-133864 (2019). doi:10.1109/ACCESS.2019.2941796

Témata: multimodal autoencoder, 0301 basic medicine, 03 medical and health sciences, Cancer genomics, cancer subtype, Electrical engineering. Electronics. Nuclear engineering, survival prediction, TK1-9971, 621.3, 3. Good health

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08839793.pdf
https://doaj.org/article/fd00873a52e8436eb561c3dc9eb5b4db
https://publications.rwth-aachen.de/record/774451

Creating Pseudo Brain Activity Data based on the Correspondence between the Different Subjects / 異被験者間の脳活動データにおける対応関係に基づく擬似データ作成

Autoři: Ichiro KOBAYASHI Kaei CHO 小林 一郎 a další

Zdroj: Proceedings of the Fuzzy System Symposium. 2018, :241