Results 81 to 90 of about 543,991 (343)

Drivers Route Switching Behavior Based on Group Classification

open access: yesIEEE Access, 2020
Drivers’ route switching behavior shows obvious difference when they face various traffic conditions. The article studies the drivers’ route switching behavior based on group classification.
Xueqin Long   +3 more
doaj   +1 more source

Modeling homophily and stochastic equivalence in symmetric relational data [PDF]

open access: yes, 2007
This article discusses a latent variable model for inference and prediction of symmetric relational data. The model, based on the idea of the eigenvalue decomposition, represents the relationship between two nodes as the weighted inner-product of node ...
Hoff, Peter D.
core   +4 more sources

Cool Kitchen: Processing Starch and Eggshell Powder into Sustainable Coatings for Passive Daytime Cooling

open access: yesAdvanced Functional Materials, EarlyView.
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song   +3 more
wiley   +1 more source

Integrated Model of Joint Residence-Workplace Location Choice and Commute Behavior Using Latent Class and Mixed Logit Methods

open access: yesDiscrete Dynamics in Nature and Society, 2015
With the rapid development of urbanization and motorization, urban commute trips are becoming increasingly serious due to the unbalanced distribution of residence and workplace land-use types in most Chinese cities. To explore the inherent interrelations
Pengpeng Jiao, Meiqi Liu, Jin Guo
doaj   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

lcra: Bayesian Joint Latent Class and Regression Models [PDF]

open access: gold, 2020
Michael G. Elliot   +2 more
openalex   +1 more source

Extending dynamic segmentation with lead generation: A latent class Markov analysis of financial product portfolios [PDF]

open access: yes
A recent development in marketing research concerns the incorporation of dynamics in consumer segmentation.This paper extends the latent class Markov model, a suitable technique for conducting dynamic segmentation, in order to facilitate lead generation ...
Bijmolt, T.H.A.   +2 more
core   +1 more source

Electrically Tunable On‐Chip Topological Photonics with Integrated Carbon Nanotubes

open access: yesAdvanced Functional Materials, EarlyView.
This work demonstrates electrically tunable on‐chip topological THz devices by integrating 2D carbon nanotube (CNT) sheets with valley‐Hall photonic crystals, enabling broadband transmission modulation (71% modulation depth) and tunable narrowband filtering (0.54 GHz shift) through electrically induced thermal tuning. This advancement paves the way for
Jifan Yin   +7 more
wiley   +1 more source

7. Multilevel Latent Class Models [PDF]

open access: yesSociological Methodology, 2003
The latent class (LC) models that have been developed so far assume that observations are independent. Parametric and non-parametric random-coefficient LC models are proposed here, which will make it possible to modify this assumption. For example, the models can be used for the analysis of data collected with complex sampling designs, data with a ...
openaire   +1 more source

The Lazy Bootstrap. A Fast Resampling Method for Evaluating Latent Class Model Fit [PDF]

open access: yes, 2018
The latent class model is a powerful unsupervised clustering algorithm for categorical data. Many statistics exist to test the fit of the latent class model. However, traditional methods to evaluate those fit statistics are not always useful.
Mulder, Joris   +2 more
core   +1 more source

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