Results 111 to 120 of about 4,573,641 (310)
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Robust mixtures in the presence of measurement errors
, 2007 We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information.
Kaban, Ata +2 more
core +3 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Local Subspace-Based Outlier Detection using Global Neighbourhoods
, 2016 Outlier detection in high-dimensional data is a challenging yet important task, as it has applications in, e.g., fraud detection and quality control. State-of-the-art density-based algorithms perform well because they 1) take the local neighbourhoods of ...
Bäck, Thomas +2 more
core +1 more source
Advanced Engineering Materials, EarlyView.A statistical framework is applied to quantify the distribution of electrical resistivity among individual filaments of two commercially available carbon fiber types. Correlations between filament resistivity, tensile modulus, and diameter are examined and complemented by TEM analysis to provide new insight into filament‐level variability relevant for ...
Nils Wieja +9 more
wiley +1 more source
Advanced Functional Materials, EarlyView.MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan +16 more
wiley +1 more source
JUTI: Jurnal Ilmiah Teknologi Informasi, 2009 The purpose of this paper is to provide the results of Arima modeling and outlier detection in the rainfall data in Surabaya. This paper explained about the steps in the formation of rainfall models, especially Box-Jenkins procedure for Arima modeling ...
Achmad Mauludiyanto +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A 3D disease model is developed using customized hyaluronic‐acid‐based hydrogels supplemented with extracellular matrix (ECM) proteins resembling brain ECM properties. Neurons, astrocytes, and tumor cells are used to mimic the native brain surrounding.
Esra Türker +16 more
wiley +1 more source
Speeding problem detection in business surveys: benefits of statistical outlier detection methods
Croatian Operational Research Review, 2017 Speeding describes the unusually fast responses provided to survey questions. A characteristic of speeders is that answers by-pass cognitive process. Consequently, this low respondent engagement results in the poor quality and validity of data.
Berislav Žmuk
doaj +1 more source
Identification of Outlying Observations with Quantile Regression for Censored Data [PDF]
, 2014 Outlying observations, which significantly deviate from other measurements, may distort the conclusions of data analysis. Therefore, identifying outliers is one of the important problems that should be solved to obtain reliable results.
Cho, HyungJun +2 more
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