Results 81 to 90 of about 152,792 (262)

Adaptive Observer for Coupled Wave PDE and Infinite ODE With Sampled Data and Unknown Input: Application to Brain Hemodynamics Estimation

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This article proposes a convergent adaptive observer for a damped wave PDE and an infinite‐dimensional ODE coupled in cascade using sampled‐in‐space ODE state measurements. The proposed observer estimates the distributed states of the PDE and ODE along with unknown PDE parameters and spatial input.
Zehor Belkhatir   +2 more
wiley   +1 more source

A review of the application and contribution of discrete choice experiments to inform human resources policy interventions

open access: yesHuman Resources for Health, 2009
Although the factors influencing the shortage and maldistribution of health workers have been well-documented by cross-sectional surveys, there is less evidence on the relative determinants of health workers' job choices, or on the effects of policies ...
Blaauw Duane, Lagarde Mylene
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Comparing discrete choice and machine learning models in predicting destination choice

open access: yesEuropean Transport Research Review
Destination choice modeling has long been dominated by theory-based discrete choice models. Simultaneously, machine learning has demonstrated improved predictive performance to other fields of discrete choice modeling.
Ilona Rahnasto, Martijn Hollestelle
doaj   +1 more source

A EVALUATION OF CONSUMER’S PREFERENCES IN THE CLUJ-NAPOCA RETAIL MARKET BASED ON A MULTINOMIAL LOGIT MODEL [PDF]

open access: yesManagement & Marketing, 2009
A long period of time investors were interested in the Bucharest market, but the need for investment in the rest of the country, coupled with the high potential markets present there, resulted in increasingly more investors interested in Romania ...
Ciprian Marcel POP   +2 more
doaj  

A Discrete Choice Model for Ordered Alternatives

open access: yesEconometrica, 1987
A generalization of the multinomial logit (MNL) model is developed in which discrete alternatives are ordered so as to induce stochastic correlation among alternatives in close proximity. It is designed for situations where the alternatives are ordered, but is more flexible than previous ordered models.
openaire   +3 more sources

Laser Powder Bed Fusion of Alumina: Effects of Scanning Strategies on External and Internal Defects

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates how scanning strategies affect pure alumina in laser powder bed fusion. Linear 45° scanning yields uniform surfaces but high porosity, while the island‐concentric strategy provides higher density with through‐holes favorable for infiltration. Findings highlight pathways toward optimizing defect‐free alumina parts.
Mohamed Abdelmoula   +7 more
wiley   +1 more source

Education and patient preferences for treating type 2 diabetes: a stratified discrete-choice experiment

open access: yesPatient Preference and Adherence, 2017
Ellen M Janssen,1 Daniel R Longo,2 Joan K Bardsley,3 John FP Bridges1 1Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 2Department of Family Medicine and Population Health, Virginia ...
Janssen EM   +3 more
doaj  

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced 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

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar   +2 more
wiley   +1 more source

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