A multi-task learning model with feature separation constraint for parameter prediction of gas–liquid two-phase flow
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ada1e8
Abstract: Precise measurement of gas void fraction is crucial for the control and optimization of various industrial processes. However, due to the intricate dynamics inherent in two-phase flow, measuring gas void fraction remains a challenging task.… read more here.
Keywords: feature separation; two phase; gas; separation constraint ... See more keywords
Out-of-Distribution Generalization With Causal Feature Separation
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DOI: 10.1109/tkde.2023.3312255
Abstract: Driven by empirical risk minimization, machine learning algorithm tends to exploit subtle statistical correlations existing in the training environment for prediction, while the spurious correlations are unstable across environments, leading to poor generalization performance. Accordingly,… read more here.
Keywords: distribution; feature separation; causal feature; generalization ... See more keywords
Multisource Feature Separation and Weighted Network for Cross-Conditional Capacity Estimation of Lithium Batteries
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2025.3585260
Abstract: Accurate prediction of lithium-ion battery capacity is a critical task in BMSs. However, existing multisource domain adaptation methods often ignore the different contributions of each source domain, focusing solely on aligning the global distributions of… read more here.
Keywords: lithium; capacity; feature separation; multisource feature ... See more keywords