Results 101 to 110 of about 8,708,943 (308)

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

Arthritis Care &Research, Accepted Article.
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, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Analyzing Factors Affecting Tax Morale Levels in Turkey Using Alternative Ordered Response Models

Transylvanian Review of Administrative Sciences, 2019
The concept of tax morale is introduced to measure the reason of paying taxes by subjects. The main objective of this paper is twofold. Firstly, the present paper examines potential factors that may influence the degree of tax morale in Turkey. Secondly,
Dilek Özdemir, Ali Kemal Çelik, Serap Bedir Kara   +2 more
doaj   +1 more source

A discrete choice model of transitions to sustainable technologies [PDF]

Journal of Economic Behavior & Organization, 2015
We propose a discrete choice model of sustainable transitions from dirty to clean technologies. Agents can adopt one technology or the other, under the influence of social interactions and network externalities. Sustainable transitions are addressed as a multiple equilibria problem. A pollution tax can trigger a sudden transition as a bifurcation event,
openaire   +6 more sources

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
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, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Understanding travel behavior and mode choice prediction for university commuters: insights from discrete choice models and machine learning

Transportation Research Interdisciplinary Perspectives
While there has been a growing interest in studying the commuting behavior of university students using mode choice models, most existing studies still lack the in-depth analysis needed to fully understand the factors influencing their transportation ...
Hassan Kamkar, Saeid Saidi, Mohammad Ansari Esfeh   +2 more
doaj   +1 more source

Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice

Business Research, 2018
Commonly used discrete choice model analyses (e.g., probit, logit and multinomial logit models) draw on the estimation of importance weights that apply to different attribute levels.
Joseph F. Hair, Christian M. Ringle, Siegfried P. Gudergan, Andreas Fischer, Christian Nitzl, Con Menictas   +5 more
doaj   +1 more source

Hybrid Choice Models: Progress and Challenges [PDF]

We discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation. Such approaches incorporate several elements of cognitive process that have been identified as important to the choice process ...
Daniel McFadden, Moshe Ben-Akiva, Kenneth Train, Axel Börsch-Supan   +3 more
core  

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

Advanced 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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Estimation of Discrete Time Duration Models with Grouped Data [PDF]

Dynamic discrete choice panel data models have received a great deal of attention. In those models, the dynamics is usually handled by including the lagged outcome as an explanatory variable.
Bo E. Honoré, Luojia Hu
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, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source