Results 151 to 160 of about 711,747 (330)

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi   +5 more
wiley   +1 more source

Application of 3D scanning technology in Royal Malaysian Air Force Industrial Revolution 4.0‐based aircraft maintenance

open access: yesIET Networks, EarlyView., 2022
Abstract 3D scanning is rapidly becoming a key maintenance tool. Aerospace was a pioneer in adopting 3D scanning technology because aircraft manufacture and maintenance require precision. Monitoring deterioration, removing components for maintenance, and verifying covert operations are not practical or helpful without technology.
T. Nanthakumaran Thulasy   +4 more
wiley   +1 more source

Political business cycles: evidências empíricas para os municípios paulistas (1989 - 2001)

open access: yesEconomia Aplicada, 2007
Este artigo analisa o comportamento fiscal dos municípios paulistas perante dois fatores de ordem política: o calendário eleitoral e os diferentes partidos políticos dos prefeitos municipais, entre os anos de 1989 e 2001.
Sergio Naruhiko Sakurai   +1 more
doaj  

Delamination failure in a unidirectional curved composite laminate [PDF]

open access: yes
Delamination failure in a unidirectional curved composite laminate was investigated. The curved laminate failed unstably by delaminations developing around the curved region of the laminate at different depths through the thickness until virtually all ...
Martin, Roderick H.
core   +1 more source

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li   +9 more
wiley   +1 more source

FEA AND EXPERIMENTAL INVESTIGATION OF PROSTHETIC KNEE JOINT [PDF]

open access: diamond, 2023
Prajwal Uttur   +2 more
openalex   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

The Dynamic Hedging Effectiveness for Soybean Farmers of Mato Grosso with Futures Contracts of BM&F [PDF]

open access: yes
Paper presented in the VII PENSA CONFERENCE, November/2009, FEA/USP, São Paulo, Brazil.Dynamic hedge, effectiveness, soybeans, Mato Grosso, Agribusiness, Marketing,
Caldarelli, Carlos Eduardo   +3 more
core   +1 more source

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