Results 101 to 110 of about 304,299 (338)
Neural Network-Based Stereo Vision Outlier Removal [PDF]
, 2022 March Strauss, Corné E. van Daalen
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Advanced Functional Materials, EarlyView.Heterogeniety in electrochemical systems heavily influences device performance and durability. The study shows unique evidence of spatio‐operational heterogeneity in fuel cells via operando neutron and X‐ray tomography. Large variations in membrane thickness and hydration depend upon location and operating conditions, with implications on membrane ...
Pranay Shrestha +9 more
wiley +1 more source
Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection
Cauchy: Jurnal Matematika Murni dan AplikasiOutliers are observation values that are very different from most observations. The presence of outliers in data can have a negative impact on research but can contain important information for other research.
Annisa Putri Utami +2 more
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Finding Multivariate Outliers With FastPCS [PDF]
, 2013 Kaveh Vakili, Éric Schmitt
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Boundary Peeling: Outlier Detection Method Using One-Class Peeling [PDF]
, 2023 Sheikh Arafat +3 more
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Multifunctional Microstructured Surfaces by Microcontact Printing of Reactive Microgels
Advanced Functional Materials, EarlyView.Reactive poly(N‐vinylcaprolactam‐co‐glycidyl methacrylate) microgels are used as functional inks to create surface‐grafted arrays on glass via microcontact printing. The patterns (10–50 µm widths and spacings) enable stable binding and post‐functionalization with dyes and peptides.
Inga Litzen +4 more
wiley +1 more source
CLUSTER ANALYSIS OF MULTIVARIATE PANEL DATA ON DATA CONTAINING OUTLIERS
BarekengOne clustering method for panel data is K-Means Longitudinal (KML), which considers only a single trajectory per subject over time. To address this limitation, KML was extended into K-Means Longitudinal 3D (KML3D), which enables clustering of joint or ...
Kristuisno Martsuyanto Kapiluka +2 more
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Advanced Functional Materials, EarlyView.A multivalent antiviral platform based on honeycomb‐shaped DNA nanostructures (HC–Urumin) is developed to enhance the potency and breadth of the host defense peptide Urumin. Through spatially patterned trimeric presentation, HC–Urumin disrupts influenza A virus entry, improves cell viability, and reduces disease severity in vivo‐offering a modular and ...
Saurabh Umrao +11 more
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JGEET: Journal of Geoscience, Engineering, Environment and TechnologyThis study investigates the comparative performance of ten machine learning models—Linear Regression, SVM, Neural Network, Decision Tree, Random Forest, Gradient Boosting, AdaBoost, XGBoost, LightGBM, and CatBoost—in predicting concrete compressive ...
Faisal Ananda +8 more
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Neonatal brain connectivity outliers identify over forty percent of IQ outliers at 4 years of age [PDF]
, 2020 Wei Gao +4 more
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