Results 271 to 280 of about 766,215 (314)

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

Integrating Uncertainty Quantification into Computational Fluid Dynamics Models of Coronary Arteries Under Steady Flow. [PDF]

J Biomech Eng
Usman M, Castillo PN, Narayan A, Timmins LH.   +3 more
europepmc   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

How Uncertainty Affects Children's Exploration and Exploitation in Statistical Learning. [PDF]

Dev Sci
Tong SX, Zhang P, Zhou M, Ziegler JC.
europepmc   +1 more source

Toward Reference-Grade neuron models. [PDF]

Commun Biol
Korngreen A.
europepmc   +1 more source

Uncertainty quantification of U-Net based segmentation tool using conformal prediction. [PDF]

J Appl Clin Med Phys
Borden BJ, Graham-Knight JB, Lasserre P, Lucas S, Rajapakshe RD.   +4 more
europepmc   +1 more source

Uncertainty Quantification of Central Canal Stenosis Deep Learning Classifier From Lumbar Sagittal T2-Weighted MRI. [PDF]

JOR Spine
Brenzikofer A, Monzon M, Galbusera F, Manjaly ZM, Cina A, Jutzeler CR.   +5 more
europepmc   +1 more source

Model Uncertainty, State Uncertainty, and State-Space Models [PDF]

SSRN Electronic Journal, 2012
State-space models have been increasingly used to study macroeconomic and financial problems. A state-space representation consists of two equations, a measurement equation which links the observed variables to unobserved state variables and a transition equation describing the dynamics of the state variables.
Young, ER, Luo, Y, Nie, J
openaire   +3 more sources

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Agents’ model of uncertainty

Knowledge and Information Systems, 2008
Multi-agent systems play an increasing role in sensor networks, software engineering, web design, e-commerce, robotics, and many others areas. Uncertainty is a fundamental property of these areas. Agent-based systems use probabilistic and other uncertainty models developed earlier without explicit consideration of agents. This paper explores the impact
Germano Resconi, Boris Kovalerchuk
openaire   +2 more sources