Results 111 to 120 of about 8,708,943 (308)

Comparing Two Deep-Learning Models in Discrete Choice Analysis of Customers’ Mobile Plan Preferences

open access: yesApplied Sciences
A discrete choice experiment (DCE) was used to investigate students’ preferences for mobile phone plans at a South African university. Upon obtaining the data, this study compares the predictive performance of two machine-learning models for discrete ...
Chidimma Oliobi   +2 more
doaj   +1 more source

JUSTIFICATION OF PERIOD OF PASSENGER ROUTE CHOICE SURVEY [PDF]

open access: yesAvtomobilʹnyj Transport (Harʹkov), 2013
This paper presents the justification of reasonability of taking into account the situation of equally possible passenger route choice when modeling such a choice with proper mathematical models. The approach to determine the number of days to survey the
Gorbachov, P.   +2 more
doaj  

Fast algorithms for (capacitated) continuous pricing with discrete choice demand models

open access: yes
TRANSP-ORPresented at 16th workshop on Discrete Choice Models, Ecole Polytechnique Fédérale de Lausanne, Lausanne ...
Torres, Fabian   +3 more
core  

Random Covariance Heterogeneity in Discrete Choice Models [PDF]

open access: yes
The area of discrete choice modelling has developed rapidly in recent years. In particular, continuing refinements of the Generalised Extreme Value (GEV) model family have permitted the representation of increasingly complex patterns of substitution and ...
Stephane Hess, John Polak, Denis Bolduc
core  

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

ORCH: many analyses, one merge—a deterministic multi-agent orchestrator for discrete-choice reasoning with EMA-guided routing

open access: yesFrontiers in Artificial Intelligence
IntroductionMulti-agent/ensemble approaches can improve discrete-choice reasoning with large language models, but common orchestration methods are often non-deterministic, expensive, and difficult to reproduce.
Hanlin Zhou, Hanlin Zhou, Huah Yong Chan
doaj   +1 more source

Airport Choice in a Constraint World: Discrete Choice Models and Capacity Constraints [PDF]

open access: yes, 2008
The purpose of this paper is to present a new approach to model capacity constraints in discrete choice with at least some capacity-related variables missing, like e.g. the price of a commodity.
Gelhausen, Marc   +1 more
core  

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

open access: yesAdvanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora   +4 more
wiley   +1 more source

Estimation of discrete choice models: extending BIOGEME

open access: yes
Discrete choice models are constantly in evolution in the literature. Since they enable to capture wide range of situations, they have been widely used by researchers and also practitioners in several fields of applications including econometrics and ...
Fetiarison, Mamy, Bierlaire, Michel
core  

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

open access: yesAdvanced 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

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