Results 61 to 70 of about 78,109 (159)

Uncertainty quantification and film cooling

Computers & Fluids, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
D'Ammaro, A, Montomoli, F
openaire   +5 more sources

Impacts of Uncertain Permeability Fields on the Transient Hydrologic Response in Coupled Surface‐Subsurface Simulations of a Headwaters Catchment

Water Resources Research
Modern integrated hydrologic models (IHMs) are powerful tools for investigating coupled hydrologic system dynamics. The tradeoff for this realism is a high computational burden and large numbers of parameters in each cell, few of which can be specified ...
Nicholas B. Engdahl
doaj   +1 more source

Comprehensive Uncertainty Quantification in Nuclear Safeguards

Science and Technology of Nuclear Installations, 2017
Nuclear safeguards aim to confirm that nuclear materials and activities are used for peaceful purposes. To ensure that States are honoring their safeguards obligations, quantitative conclusions regarding nuclear material inventories and transfers are ...
E. Bonner, T. Burr, T. Krieger, K. Martin, C. Norman   +4 more
doaj   +1 more source

Conformal deep forest for uncertainty-aware classification

Journal of King Saud University: Computer and Information Sciences
Uncertainty in deep learning models significantly impacts their performance, robustness, and reliability, making explicit uncertainty quantification a critical research focus.
Jing Zhang, Yunfei Qiu, Libo Dong
doaj   +1 more source

Air Quality Estimation and Forecasting via Data Fusion With Uncertainty Quantification: Theoretical Framework and Preliminary Results

Journal of Geophysical Research: Machine Learning and Computation
Integrating air quality information from models, satellites, and in situ monitors allows for both better estimation of air quality and better quantification of uncertainties in this estimation.
Carl Malings, K. Emma Knowland, Nathan Pavlovic, Justin G. Coughlin, Daniel King, Christoph Keller, Stephen Cohn, Randall V. Martin   +7 more
doaj   +1 more source

Positioning Integrity via Uncertainty Quantification

IEEE Transactions on Vehicular Technology
The integrity and reliability of the positioning information are crucial for applications, including safety-critical ones, that rely on cellular network users' locations. Release 18 of the Third Generation Partnership Project (3GPP) broadens the notion of integrity, which was initially applied only to positioning based on Global Navigation Satellite ...
Stefania Bartoletti, Ivan Palamà, Luca Chiaraviglio, Sara Modarres Razavi, Yuxin Zhao, Giuseppe Bianchi, Nicola Blefari-Melazzi   +6 more
openaire   +3 more sources

Reliability-Based Topology Optimization with a Proportional Topology for Reliability

Aerospace
This research proposes an efficient technique for reliability-based topology optimization (RBTO), which deals with uncertainty and employs proportional topology optimization (PTO) to achieve the optimal reliability structure. The recent technique, called
Noppawit Kumkam, Suwin Sleesongsom
doaj   +1 more source

Uncertainty quantification (UQ)

, 2011
This paper was presented at the 3rd Micro and Nano Flows Conference (MNF2011), which was held at the Makedonia Palace Hotel, Thessaloniki in Greece. The conference was organised by Brunel University and supported by the Italian Union of Thermofluiddynamics, Aristotle University of Thessaloniki, University of Thessaly, IPEM, the Process Intensification ...
Karniadakis, GE, 3rd Micro and Nano Flows Conference (MNF2011)   +1 more
openaire   +1 more source

Uncertainty Quantification

Establish and address the main uncertainty quantification technologies for agricultural ...
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ImmUQBench: a benchmark on uncertainty quantification of protein immunogenicity prediction. [PDF]

Oxf Open Immunol
Qayyum ABA, Rahmati AH, Qian X, Yoon BJ.
europepmc   +1 more source