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
DeepTrackSecure: an integrated classification-detection system with predictive risk analytics for proactive railway safety management. [PDF]
Balakrishnan P +4 more
europepmc +1 more source
A Robust Extended Kalman Filter Algorithm Based on a Sliding Window Fractional-Order Grey Prediction Model and Its Application in MINS/GNSS. [PDF]
Zhang M, Xu A.
europepmc +1 more source
A Novel Multi-Source Fault Diagnosis Strategy Based on Knowledge and Data Dual-Drive for a Planetary Gearbox. [PDF]
Yang H, Hao J.
europepmc +1 more source
Multi-Stage State Assessment of Breakers Based on TCWGAN-GP and XGBoost Under Insufficient Samples. [PDF]
Sun L, Wang L, Wang J, Liu Z.
europepmc +1 more source
Controls on hydrocarbon accumulation in ultra-deep carbonate reservoirs of the Ordovician Yingshan Formation, Catake Uplift, Tarim Basin. [PDF]
Wang L +5 more
europepmc +1 more source
AI algorithms and IoT platforms for anomaly and failure prediction in industrial machinery-systematic review. [PDF]
Marín Vásquez ME +3 more
europepmc +1 more source
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A study on software fault prediction techniques
Artificial Intelligence Review, 2017Software 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, 2014In 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
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Probabilistic fault prediction of incipient fault
2010 Chinese Control and Decision Conference, 2010In 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
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