Results 171 to 180 of about 9,854,297 (301)
Equivalence Set Restricted Latent Class Models (ESRLCM) [PDF]
Latent Class Models (LCMs) are used to cluster multivariate categorical data, commonly used to interpret survey responses. We propose a novel Bayesian model called the Equivalence Set Restricted Latent Class Model (ESRLCM). This model identifies clusters
Culpepper, Steve, Bowers, Jesse
core
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
The influence of country of origin on German consumer preferences for peaches: a latent class choice model [PDF]
Germany is an important world level market for fresh fruit. Spain and Italy are the main suppliers of fresh fruit on the German market while the main imported products are apple, grapes, peaches and oranges.
Del Giudice, Teresa +2 more
core
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Bayesian hierarchical latent class models for estimating diagnostic accuracy. [PDF]
Wang C, Lin X, Nelson KP.
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Evaluation using latent class models of the diagnostic performances of three ELISA tests commercialized for the serological diagnosis of Coxiella burnetii infection in domestic ruminants. [PDF]
Lurier T +11 more
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Domain latent class models, equivalent set latent class models, and kernel factor analysis
This Dissertation was approved for publication on 2024-11-26 at 08:35.DSpace SAF Submission Ingestion Package generated from Vireo submission #21393 on 2025-03-28 at 14:55:15Submission published under a 24 month embargo labeled 'Closed Access', the ...
Bowers, Jesse Mark
core

