Results 111 to 120 of about 224,256 (277)

Error measures for fuzzy linear regression: Monte Carlo simulation approach

, 2016
The focus of this study is to use Monte Carlo method in fuzzy linear regression. The purpose of the study is to figure out the appropriate error measures for the estimation of fuzzy linear regression model parameters with Monte Carlo method.
Demirhan, HAYDAR, İÇEN, DUYGU
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Calculating Value-at-Risk [PDF]

The market risk of a portfolio refers to the possibility of financial loss due to the joint movement of systematic economic variables such as interest and exchange rates.
William Fallon
core  

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Enhancing Strength and Electrical Conductivity in Al–Zr–Sc Conductor Alloys Through Sn and Sr Microalloying and Two‐Step Aging Treatment

Advanced Engineering Materials, EarlyView.
Trace additions of Sn and Sr combined with a two‐step aging treatment are shown to enhance the microstructure and performance of Al–Zr–Sc conductor alloys. Strength and electrical conductivity increase concurrently through accelerated precipitation of fine Al3(Sc, Zr) precipitates and improved dislocation resistance, offering a cost‐effective pathway ...
Quan Shao, Emad M. Elgallad, Alexandre Maltais, X.‐Grant Chen   +3 more
wiley   +1 more source

Coefficient of determination (R²) and root mean square error (RMSE) for (a) the original and (b) our phenology models for the various vegetation types over the Northern Hemisphere, and(c) cumulative percentage of the absolute differences between the MODIS EGS and the simulated EGS from the original and our phenology models.

, 2016
Coefficient of determination (R2) and root mean square error (RMSE) for (a) the original and (b) our phenology models for the various vegetation types over the Northern Hemisphere, and(c) cumulative percentage of the absolute differences between the ...
Yang Fu (295625), Zeyu Zheng (602919), Rui Xiao (260235), Haibo Shi (275576)   +3 more
core   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Trend Prediction of Valve Internal Leakage in Thermal Power Plants Based on Improved ARIMA-GARCH

Energies
Accurate trend prediction of valve internal leakage is crucial for the safe and economical operation of thermal power units. To address the issues of prediction lag and insufficient accuracy in existing methods when dealing with the dynamic changes in ...
Ruichun Hou, Lin Cong, Kaiyong Li, Zihao Guo, Xinghua Yuan, Chengbing He   +5 more
doaj   +1 more source

Results for the SID presented as mean, standard deviation (SD), difference between means (M-DIFF), p-values, Interclass Correlation Coefficient (ICC) values with corresponding 95% confidence intervals (95% CI), and Standard Error of Measurement (SEM) and Limits of Agreement (LOA, both in absolute numbers and percentage).

, 2015
Results for the SID presented as mean, standard deviation (SD), difference between means (M-DIFF), p-values, Interclass Correlation Coefficient (ICC) values with corresponding 95% confidence intervals (95% CI), and Standard Error of Measurement (SEM) and
Stig Andersen (804311), Jesper Ryg (804312), Tahir Masud (804313), Martin Gronbech Jorgensen (804310)   +3 more
core   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source