Results 181 to 190 of about 1,500,956 (328)
Normal control charts with nonparametric safeguard
, 2007 Willem Albers, Wim, W.C.M. Kallenberg
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Advanced Functional Materials, EarlyView.A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou +7 more
wiley +1 more source
A Simple Robust Dispersion Control Chart Based on MMLE
, 2015 Iosr Journals +2 more
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Advanced Functional Materials, EarlyView.PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
A parametric bootstrap control chart for Lindley Geometric percentiles. [PDF]
PLoS OneAl-Lami MAH +2 more
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Form reviewer "Data Monitoring Of Student Attendance At Bina Nusantara University Using Control Charts" [PDF]
, 2014 Heruna Tanty
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An enhanced nonparametric EWMA sign control chart using sequential mechanism
, 2019 Muhammad Riaz +3 more
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Advanced Functional Materials, EarlyView.Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
A control chart for bivariate discrete data monitoring. [PDF]
J Appl StatTalib A, Ali S, Shah I.
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