dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Optimizing consumer choice in selection of health insurance. [PDF]
Health Aff SchYaver M, Anderson DM, Gidwani R.
europepmc +1 more source
AN APPLICATION OF CHOICE MODELING TO MEASURE U.S. CONSUMER PREFERENCES FOR GENETICALLY MODIFIED FOODS [PDF]
Food biotechnology promises to deliver a wide range of enhanced consumer benefits. This study models consumer's willingness to trade-off the potential risks of GM foods with the possibility of extracting significant benefits.
Onyango, Benjamin M. +2 more
core
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 +2 more
wiley +1 more source
Consumer choice and preference heterogeneity for liquid milk attributes in Sri Lanka: evidence from a choice experiment. [PDF]
Front NutrSivashankar S +3 more
europepmc +1 more source
CONSUMER VALUATION OF BEEF RIBEYE STEAK ATTRIBUTES [PDF]
A choice experiment (conjoint analysis) was used to investigate consumer demand for several beef ribeye steak attributes. Respondents indicated that they would prefer a "hormone free" ribeye steak priced up to $6.68/lb.
Fox, John A., Lusk, Jayson L.
core
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 +6 more
wiley +1 more source
Decoding the Drivers of Consumer Choice for Near-Expired Meat in Digital Retailing: Economic Incentives, Food Safety, and Technology Acceptance. [PDF]
FoodsHuang WS, Lin CW, Lai KL, Chen HS.
europepmc +1 more source
CONSUMER CREDIT DELINQUENCY AND BANKRUPTCY FORECASTING USING ADVANCED ECONOMETRC MODELING [PDF]
This research paper empirically shows that unemployment is significant in determining both consumer bankruptcy filings and delinquency even after controlling for household demographics. Furthermore, I show that unemployment and the debt/wealth ratio also
Ji, Tingting
core
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source