Hybrid uncertainty-based design optimization and its application to hybrid rocket motors for manned lunar landing
Sign Up to like & getrecommendations! Published in 2017 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2017.02.009
Abstract: Abstract Design reliability and robustness are getting increasingly important for the general design of aerospace systems with many inherently uncertain design parameters. This paper presents a hybrid uncertainty-based design optimization (UDO) method developed from probability… read more here.
Keywords: design optimization; uncertainty based; hybrid uncertainty; design ... See more keywords
A state-of-the-art-review on phase change materials integrated cooling systems for deterministic parametrical analysis, stochastic uncertainty-based design, single and multi-objective optimisations with machine learning applications
Sign Up to like & getrecommendations! Published in 2020 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2020.110013
Abstract: Abstract Renewable energy utilisation, latent energy storage, optimal system design, and robust system operation are critical elements for carbon-free buildings and communities. Machine learning methods are effective to assist the energy-efficient renewable systems during multi-criteria… read more here.
Keywords: machine learning; uncertainty; energy; uncertainty based ... See more keywords
Verification of the sensitivity and uncertainty-based criticality safety validation techniques: ORNL’s SCALE case study
Sign Up to like & getrecommendations! Published in 2020 at "Nuclear Engineering and Design"
DOI: 10.1016/j.nucengdes.2020.110571
Abstract: Abstract The use of sensitivity and uncertainty-based techniques has been well-developed in the neutronic community for criticality safety applications. Sensitivity techniques calculate the first-order relative variations in keff due to relative cross-section variations by isotope,… read more here.
Keywords: uncertainty based; sensitivity; verification; sensitivity uncertainty ... See more keywords
Uncertainty-Based Selective Clustering for Active Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3216065
Abstract: Labeling large amount of data is one of important issues in deep learning due to high labeling cost. One method to address this issue is the use of active learning. Active learning selects from a… read more here.
Keywords: active learning; uncertainty based; based methods; based selective ... See more keywords
Mitigating Influence of Disinformation Propagation Using Uncertainty-Based Opinion Interactions
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2022.3225375
Abstract: For decades, the spread of disinformation in online social networks (OSNs) has been a serious social issue. Disinformation via social media can easily mislead people’s beliefs toward or against an event that may mislead their… read more here.
Keywords: mitigating influence; disinformation; uncertainty based; opinion ... See more keywords
DUEL: Dempster Uncertainty-Based Enhanced- Trust Level Scheme for VANET
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3136548
Abstract: This work presents an uncertainty-based Trust Model (TM). It uses Dempster Shafer Theory (DST) to cater to uncertainty arising due to information scarcity in Vehicular Adhoc Networks (VANETs). DST combines direct and indirect trust values… read more here.
Keywords: uncertainty based; uncertainty; duel dempster; dempster uncertainty ... See more keywords
Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3232572
Abstract: Semi-supervised learning (SSL) methods show their powerful performance to deal with the issue of data shortage in the field of medical image segmentation. However, existing SSL methods still suffer from the problem of unreliable predictions… read more here.
Keywords: unannotated data; semi; semi supervised; uncertainty based ... See more keywords
Uncertain-CAM: Uncertainty-Based Ensemble Machine Voting for Improved COVID-19 CXR Classification and Explainability
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13030441
Abstract: The ongoing coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on patients and healthcare systems across the world. Distinguishing non-COVID-19 patients from COVID-19 patients at the lowest possible cost and in the earliest… read more here.
Keywords: explainability; voting; uncertainty based; uncertain cam ... See more keywords