Výsledky vyhledávání - robust deep convolutional autoencoder (RDCAE)

Pseudo-Supervised Defect Detection Using Robust Deep Convolutional Autoencoders

Autoři: Mahmut Nedim Alpdemir

Zdroj: Sakarya University Journal of Computer and Information Sciences, Vol 5, Iss 3, Pp 385-403 (2022)
Volume: 5, Issue: 3 385-403
Sakarya University Journal of Computer and Information Sciences

Témata: defect detection, robust autoencoders, anomaly detection, machine learning, convolutional neural networks, QA75.5-76.95, Information technology, 02 engineering and technology, T58.5-58.64, Computer Software, Yapay Zeka, Artificial Intelligence, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, Bilgisayar Yazılımı

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/00abf58f4c5449028b3d175b74d63ea1
https://dergipark.org.tr/tr/pub/saucis/issue/74792/1196381

Unsupervised Erratic Seismic Noise Attenuation With Robust Deep Convolutional Autoencoders.

Autoři: Qian, Feng Guo, Wei Liu, Zhangbo a další

Zdroj: IEEE Transactions on Geoscience & Remote Sensing. Apr2022, Vol. 60, p1-16. 16p.

Témata: *RANDOM noise theory, *IMAGING systems in seismology, *SUPERVISED learning, *DEEP learning, *SMOOTHNESS of functions, *NOISE measurement

Full-Coupled Convolutional Transformer for Surface-Based Duct Refractivity Inversion.

Autoři: Wu, Jiajing Wei, Zhiqiang Zhang, Jinpeng a další

Zdroj: Remote Sensing; Sep2022, Vol. 14 Issue 17, p4385, 22p

Témata: ELECTROMAGNETIC waves, DEEP learning