Results 51 to 60 of about 8,393,375 (379)
The effect of input data resolution and complexity on the uncertainty of hydrological predictions in a humid vegetated watershed [PDF]
Hydrology and Earth System Sciences, 2018 Uncertainty in hydrological modeling is of significant concern due to its effects on prediction and subsequent application in watershed management. Similar to other distributed hydrological models, model uncertainty is an issue in applying the Soil ...
L. Hoang +6 more
doaj +1 more source
IEEE Access, 2022 The nonisolated multiphase dc–dc converter (NMDC) has important research value and broad application prospect in fields such as smart grid and new energy vehicles because of its high power density and low output ripple.
Wen Yan +4 more
doaj +1 more source
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks [PDF]
arXiv, 2022 Graph Neural Networks (GNN) provide a powerful framework that elegantly integrates Graph theory with Machine learning for modeling and analysis of networked data. We consider the problem of quantifying the uncertainty in predictions of GNN stemming from modeling errors and measurement uncertainty.
arxiv
Water Resources ResearchGlobal Sensitivity Analysis (GSA) is key to assisting appraisal of the behavior of hydrological systems through model diagnosis considering multiple sources of uncertainty. Uncertainty sources typically comprise incomplete knowledge in (a) conceptual and
Heng Dai +5 more
semanticscholar +1 more source
Density Uncertainty Layers for Reliable Uncertainty Estimation [PDF]
arXiv, 2023 Assessing the predictive uncertainty of deep neural networks is crucial for safety-related applications of deep learning. Although Bayesian deep learning offers a principled framework for estimating model uncertainty, the common approaches that approximate the parameter posterior often fail to deliver reliable estimates of predictive uncertainty.
arxiv
Communicating the parameter uncertainty in the IQWiG efficiency frontier to decision-makers. [PDF]
Health Econ, 2015 The Institute for Quality and Efficiency in Health Care (IQWiG) developed—in a consultation process with an international expert panel—the efficiency frontier (EF) approach to satisfy a range of legal requirements for economic evaluation in Germany's ...
Stollenwerk B +7 more
europepmc +2 more sources
Journal of Hydrology and Hydromechanics, 2022 In a previous study, the topsoil and root zone ASCAT satellite soil moisture data were implemented into three multi-objective calibration approaches of the TUW hydrological model in 209 Austrian catchments.
Kuban Martin +9 more
doaj +1 more source
Learning from monitoring networks: Few-large vs. many-small plots and multi-scale analysis
Frontiers in Ecology and Evolution, 2023 In order to learn about broad scale ecological patterns, data from large-scale surveys must allow us to either estimate the correlations between the environment and an outcome and/or accurately predict ecological patterns.
Becky Tang +3 more
doaj +1 more source
System Theoretic View on Uncertainties [PDF]
, 2023 The complexity of the operating environment and required technologies for highly automated driving is unprecedented. A different type of threat to safe operation besides the fault-error-failure model by Laprie et al. arises in the form of performance limitations.
arxiv +1 more source
Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer
Molecular Oncology, EarlyView.We used whole exome and RNA‐sequencing to profile divergent genomic and transcriptomic landscapes of microsatellite stable (MSS) and microsatellite instable (MSI) colorectal cancer. Alterations were classified using a computational score for integrative cancer variant annotation and prioritization.
Efstathios‐Iason Vlachavas +15 more
wiley +1 more source