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Akademický článek

Masked Feature Modeling for Generative Self-Supervised Representation Learning of High-Resolution Remote Sensing Images

Autor: Shiyan Pang, Hanchun Hu, Zhiqi Zuo, Jia Chen, Xiangyun Hu

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8434-8449 (2024)

Intelligent interpretation of remote sensing images using deep learning is heavily reliant on large datasets, and models trained in one domain often struggle with crossdomain application. Pretraining the backbone network via masked image modeling can

Externí odkaz: https://doaj.org/article/40924470fc254556ae7e946ff677a63b

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Akademický článek

MFM-based alarm root-cause analysis and ranking for nuclear power plants

Autor: Mengchu Song, Christopher Reinartz, Xinxin Zhang, Harald P.-J. Thunem, Robert McDonald

Publikováno v: Nuclear Engineering and Technology, Vol 55, Iss 12, Pp 4408-4425 (2023)

Alarm flood due to abnormality propagation is the most difficult alarm overloading problem in nuclear power plants (NPPs). Root-cause analysis is suggested to help operators in understand emergency events and plant status. Multilevel Flow Modeling (M

Externí odkaz: https://doaj.org/article/8e7a34b43c6f406aac71431c085331ad

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