Results 201 to 210 of about 17,917 (263)

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

AI algorithms and IoT platforms for anomaly and failure prediction in industrial machinery-systematic review. [PDF]

open access: yesFront Artif Intell
Marín Vásquez ME   +3 more
europepmc   +1 more source
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A study on software fault prediction techniques

Artificial Intelligence Review, 2017
Software fault prediction aims to identify fault-prone software modules by using some underlying properties of the software project before the actual testing process begins.
Santosh Singh Rathore, Sandeep Kumar
exaly   +2 more sources

Clustering for Fault Prediction with CLUFFP

2014 40th EUROMICRO Conference on Software Engineering and Advanced Applications, 2014
In this tool demonstration paper, we present CLUFFP (Clustering For Fault Prediction) an Eclipse plug-in to group source code classes. The clustering approach implemented in our Eclipse plug-in has been successfully applied in the context of fault prediction of object oriented software systems.
Trillo, E.   +2 more
openaire   +1 more source

Probabilistic fault prediction of incipient fault

2010 Chinese Control and Decision Conference, 2010
In this work, a probabilistic fault prediction approach is presented for prediction of incipient fault in an uncertain way. The approach has two stages. In the first stage, normal data is analyzed by principle component analysis (PCA) to get control limits of the statistics of T2 and SPE.
Zhen Zhao   +3 more
openaire   +1 more source

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