Anomalous Weak Values are Caused by Disturbance
Sign Up to like & getrecommendations! Published in 2022 at "Foundations of Physics"
DOI: 10.1007/s10701-021-00534-w
Abstract: In combination with post-selection, weak measurements can lead to surprising results known as anomalous weak values. These lie outside the bounds of the spectrum of the relevant observable, as in the canonical example of measuring… read more here.
Keywords: anomalous weak; caused disturbance; weak values; values caused ... See more keywords
Segment-Based Graph Convolutional Network for Imputation of Missing Values Caused by Sensor Fault and Its Application in Aeroengines
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3568986
Abstract: Graph neural networks (GNNs) have emerged as a popular solution for missing value imputation. Nevertheless, traditional GNNs consume a significant amount of memory when processing long time series, limiting their deployment in resource-constrained environments. Additionally,… read more here.
Keywords: time; network; values caused; imputation ... See more keywords