Prediction of residual stress random fields for selective laser melted A357 aluminum alloy subjected to laser shock peening

MI Hatamleh, J Mahadevan… - Journal of …, 2019 - asmedigitalcollection.asme.org
Residual stress (RS) is a major processing issue for selective laser melting (SLM) of metal
alloys. Postprocessing by way of heat treatment or hot isostatic pressing is usually required …

Improving Bayesian inference efficiency for sensory anomaly detection and recovery in mobile robots

M Castellano-Quero, JA Fernández-Madrigal… - Expert Systems with …, 2021 - Elsevier
For mobile robots to operate in real environments, it is essential that basic tasks such as
localization, mapping and navigation are performed properly. These tasks strongly rely on …

Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks

V Asvatourian, P Leray, S Michiels, E Lanoy - Artificial Intelligence in …, 2020 - Elsevier
Learning a Bayesian network is a difficult and well known task that has been largely
investigated. To reduce the number of candidate graphs to test, some authors proposed to …

Combination of non-destructive tests for assessing decay in existing timber elements

T Yu, HS Sousa, JM Branco - Nondestructive Testing and …, 2020 - Taylor & Francis
Existing timber structures often present elements with different levels of decay and the
choice to maintain them comes from the structural assessment, made by a civil engineer on …

[HTML][HTML] Evaluation of risk factors for fall in elderly using Bayesian networks: A case study

G Sihag, V Delcroix, E Grislin-Le Strugeon… - Computer Methods and …, 2021 - Elsevier
Background: Falls in the elderly are the number one cause of traumatic death in this
population. Prevention of falls requires to evaluate which risk factors for fall are present for a …

Prediction of risk factors for fall using bayesian networks with partial health information

G Sihag, V Delcroix, E Grislin, X Siebert… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Falls are frequent in the elderly and it is the number one cause of traumatic death in this
population. Fall prevention requires to evaluate which risk factors for fall are present for a …

Evaluating the bovine tuberculosis eradication mechanism and its risk factors in England's cattle farms

T Sedighi, L Varga - International Journal of Environmental Research and …, 2021 - mdpi.com
Controlling bovine tuberculosis (bTB) disease in cattle farms in England is seen as a
challenge for farmers, animal health, environment and policy-makers. The difficulty in …

A study on the identification of delayed delivery risk transmission paths in multi-variety and low-volume enterprises based on bayesian network

L Yang, F Zhang, A Liu, S Zhou, X Wu, F Wei - Applied Sciences, 2022 - mdpi.com
Due to the prevalence of the order production mode, multi-variety, small-batch
manufacturing enterprises frequently delay deliveries to downstream customers. To date …

Detection of faults and drifts in the energy performance of a building using Bayesian networks

D Bigaud, A Charki… - Journal of …, 2019 - asmedigitalcollection.asme.org
Despite improved commissioning practices, malfunctions or degradation of building systems
still contribute to increase up to 20% the energy consumption. During operation and …

A Novel Fault Identification Method Driven by Knowledge and Data

Q Wan, H Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
In the field of intelligent manufacturing, fault identification is an effective way to improve
product service by identifying the cause of failures. For addressing it, the Generalized …