Results 251 to 260 of about 1,871,607 (274)

False‐negative probability in the SEM/EDS automated discovery of iGSR particles: A Bayesian approach

Journal of Forensic Sciences, 2023
Abstract The automated search software integrated with a scanning electron microscope (SEM/EDS) has been the standard tool for detecting inorganic gunshot residues (iGSR) for several decades. The detection of these particles depends on various factors such as collection, preservation, contamination with organic ...
Martín A. Onetto, Edgardo Carignano, Rodolfo G. Pregliasco   +2 more
openaire   +3 more sources

Dyadic Interactions in Service Encounter: Bayesian SEM Approach

2009
Dyadic interactions are an important aspects in service encounters. They may be observed in B2B distribution channels, professional services, buying centers, family decision making or WOM communications. The networks consist of dyadic bonds that form dense but weak ties among the actors.
Adam Sagan, Magdalena Kowalska-Musial
openaire   +2 more sources

A hierarchical generalised Bayesian SEM to assess quality of democracy in Europe

METRON, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fontanella, Lara, Sarra, Anna Lina, DI ZIO, Simone, Valentini, Pasquale   +3 more
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Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images

IEEE Transactions on Semiconductor Manufacturing, 2021
Deep Learning approaches have revolutionized in the past decade the field of Computer Vision and, as a consequence, they are having a major impact in Industry 4.0 applications like automatic defect classification. Nevertheless, additional data, beside the image/video itself, is typically never exploited in a defect classification module: this aspect ...
Arena S., Bodrov Y., Carletti M., Gentner N., Maggipinto M., Yang Y., Beghi A., Kyek A., Susto G. A.   +8 more
openaire   +1 more source

A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEM

2011
A new algorithm, PCB (Partial Correlation-Based) algorithm, is presented for Bayesian network structure learning. The algorithm combines ideas from local learning with partial correlation techniques in an effective way. It reconstructs the skeleton of a Bayesian network based on partial correlation and then performs greedy hill-climbing search to ...
Jing Yang 0008, Lian Li 0001
openaire   +2 more sources

Unsupervised Bayesian classification of remote sensing images using a pyramidal structure and the SEM algorithm

Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 2002
The pyramidal image decomposition consists of a succession of filtering and undersampling giving little smoothed images. Details are removed allowing a better classification at each level of the pyramid. The SEM, a stochastic version of the EM algorithm, has been chosen for that.
M. Barbas, J.-M. Boucher
openaire   +1 more source

Quasi-Bayesian information criterion of SEM for diffusion processes based on high-frequency data

Statistical Inference for Stochastic Processes
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kusano, Shogo, Uchida, Masayuki
openaire   +2 more sources

Modelling Maintenance 4.0 enablers in manufacturing: a PLS-SEM–Bayesian network approach

Journal of Quality in Maintenance Engineering
Purpose The research proposes an integrated hybrid partial least squares structural equation modelling (PLS-SEM) and Bayesian network (BN) approach to analyse the crucial enablers to Maintenance 4.0 adoption in manufacturing industries. Design/methodology/
Mahadev Laxman Naik, Milind Shrikant Kirkire   +1 more
openaire   +1 more source

Risk perception and trust mechanisms in AIGC technologies: evidence from a Bayesian SEM analysis

The Electronic Library
Purpose This study aims to explore the mechanisms underlying public risk perception and trust in artificial intelligence-generated content (AIGC) technologies. It seeks to clarify how these factors influence behavioral intention and risk prevention sensitivity, thereby informing responsible governance of ...
Manman Wei, Zhiming Song, Jiaqi Liu, Pengfei Liu   +3 more
openaire   +1 more source

Updating model parameters and predictions in SEM tunnelling using a surrogate-based Bayesian approach

Géotechnique
This paper presents a surrogate-based Bayesian approach for updating the ground parameters within an application of the observational method in sequential excavation method (SEM) construction. A three-dimensional (3D) finite-difference model is used in the forward analysis to simulate SEM construction explicitly considering 3D multi-face excavation ...
Haotian Zheng, Michael Mooney, Marte Gutierrez   +2 more
openaire   +1 more source