Results 271 to 280 of about 224,004 (328)
Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades +7 more
wiley +1 more source
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction. [PDF]
Liu Y +7 more
europepmc +1 more source
Sequential anomaly detection in highly imbalanced data : application to credit card fraud detection
Ayman Alazizi
openalex +1 more source
Rainbow Photonic Crystals: Self‐Assembly of Carbohydrate Bottlebrushes Block Copolymers
Full‐color reflective 1D photonic crystals, capable of a tunable, responsive, and reversible color with high repeatability, are created from the self‐assembly of carbohydrate‐based brush block copolymers (BR01‐04). Abstract Tunable and responsive photonic crystal systems are the subject of great research interest owing to their ability to actively ...
Hong Li +6 more
wiley +1 more source
Spectral Tuning of Hyperbolic Shear Polaritons in Monoclinic Gallium Oxide via Isotopic Substitution
Spectral tuning of highly directional hyperbolic shear polaritons is realized via isotopic substitution of 16O to 18O in monoclinic β$\beta$‐phase gallium oxide. A red‐shift of almost 40 cm−1 is experimentally demonstrated with near‐field imaging, corroborated by the permittivity change extracted from far‐field experiments and density functional theory.
Giulia Carini +28 more
wiley +1 more source
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Classifying highly imbalanced ICU data
Health Care Management Science, 2012Highly imbalanced data sets are those where the class of interest is rare. In this paper, we compare the performance of several common data mining methods, logistic regression, discriminant analysis, Classification and Regression Tree (CART) models, C5, and Support Vector Machines (SVM) in predicting the discharge status (alive or deceased, with ...
Yazan F, Roumani +3 more
openaire +2 more sources

