Results 101 to 110 of about 2,437,029 (311)
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck +10 more
wiley +1 more source
The role of the reference alternative in the specification of asymmetric discrete choice models [PDF]
Within the discrete choice modelling literature, there has been growing interest in including reference alternatives within stated choice survey tasks.
John M. Rose, Lorenzo Masiero
core
Accommodating for taste and variance heterogeneity in discrete choice [PDF]
Understanding and accommodating heterogeneity in variance (also referred to as heteroscedasticity) and taste has become a major area of research within discrete choice analysis.
Campbell, Danny +7 more
core
Effects of alternative elicitation formats in discrete choice experiments [PDF]
An elicitation format prevalently applied in discrete choice experiments (DCEs) offers each respondent a sequence of choice tasks. Each choice task contains more than two choice options.
Bennett, Jeffrey W., Scheufele, Gabriela
core +2 more sources
Comparing discrete choice and machine learning models in predicting destination choice
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]
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
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
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
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
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
Performance Comparison of Mode Choice Optimization Algorithm with Simulated Discrete Choice Modeling
Until recently, a majority of modeling tasks of transportation planning, especially in discrete choice modeling, is conducted with the help of commercial software and only concerned about the result of parameter estimates to get a policy-sensitive ...
Hyuk-Jae Roh +3 more
doaj +1 more source

