Results 121 to 130 of about 8,708,943 (308)
The aim of this study is to determine the factor affecting the mode choice of travelers in Bahrain, which presents a unique case due to its smaller area size and current dependence on cars.
Marwa Jazi Ghareibeh, Uneb Gazder
doaj +1 more source
Combining discrete and continuous mixing approaches to accommodate heterogeneity in price sensitivities in environmental choice analysis [PDF]
Data from a discrete choice experiment aimed at eliciting the demand for recreational walking trails on farmland in the Republic of Ireland is used to explore the consequences of misspecifying the cost coefficient.
Campbell, Danny +3 more
core
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 +3 more
wiley +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Estimating Mixed Logit Recreation Demand Models With Large Choice Sets [PDF]
Discrete choice models are widely used in studies of recreation demand. They have proven valuable when modeling situations where decision makers face large choice sets and site substitution is important.
Domanski, Adam
core
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
An Itinerary in the Theory of Product Differentiation. An Interview with Jacques-François Thisse
This interview revisits the contributions of Jacques-François Thisse to the theory of product differentiation, covering vertical differentiation, horizontal differentiation, and random utility models of discrete choice.
Julien Gradoz, Jacques-François Thisse
doaj +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
Weak teachers: assisted specification of discrete choice models using ensemble learning algorithms
Discrete Choice Models (DCMs) have a distinct advantage over Machine Learning (ML) classification algorithms, in that they employ a highly interpretable linear structure.
Hillel, Tim
core
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati +11 more
wiley +1 more source

