Model-Based ROC Curve: Examining the Effect of Case Mix and Model Calibration on the ROC Plot. [PDF]
Sadatsafavi M +2 more
europepmc +1 more source
Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello +7 more
wiley +1 more source
Dataset on potato phenology, growth, and yield for DSSAT/APSIM crop model calibration at central region of Bangladesh. [PDF]
Talukder AHMMR +8 more
europepmc +1 more source
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
Comparison of subject-specific musculoskeletal model calibration strategies on muscle force and fatigue estimation. [PDF]
Michaud F +3 more
europepmc +1 more source
Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi +5 more
wiley +1 more source
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments. [PDF]
Hwang Y +4 more
europepmc +1 more source
Multiscale and Multiphysics Modeling of Anisotropic Cardiac RFCA: Experimental-Based Model Calibration via Multi-Point Temperature Measurements. [PDF]
Molinari L +5 more
europepmc +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Portability of short term wind power forecasting: investigating model calibration using wind power data from Ireland and UK. [PDF]
Deignan C +3 more
europepmc +1 more source

