Results 101 to 110 of about 168,042 (312)
Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking
Designable van der Waals crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization via Ar + H2S plasma sulfurization.
Jinhyoung Lee +23 more
wiley +1 more source
The key problem of colour face recognition technique is how to take full advantage of the colour information and extract effective discriminating features.
Qian Liu, Chao Wang
doaj +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Local Linear Multivariate Regression with Variable Bandwidth in the Presence of Heteroscedasticity [PDF]
We present a local linear estimator with variable bandwidth for multivariate nonparametric regression. We prove its consistency and asymptotic normality in the interior of the observed data and obtain its rates of convergence.
Zinai Li, Azhong Ye, Rob J Hyndman
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The least core, kernel, and bargaining sets of large games [PDF]
We study the least core, the kernel, and bargaining sets of coalitional games with a countable set of players. We show that the least core of a continuous superadditive game with a countable set of players is a non-empty (norm-compact) subset of the ...
Monderer, Dov, Moreno, Diego, Einy, Ezra
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Monthly Runoff Time Series Prediction Based on STL-WPT-RFO-HLSTSVR Model
To improve the accuracy of monthly runoff time series prediction and enhance the performance of the least squares twin support vector regression (LSTSVR) machine, a mixed kernel function was constructed for the first time based on the Gaussian kernel ...
GUO Tingting, CUI Dongwen
doaj +2 more sources
Image clustering has received significant attention due to the growing importance of image recognition. Researchers have explored Riemannian manifold clustering, which is capable of capturing the non‐linear shapes found in real‐world datasets.
Mengyuan Zhang, Jinglei Liu
doaj +1 more source
Combined 2D and 3D X‐ray scattering imaging is used to analyse nanostructural properties in the inferior and superior cortex of 78 human femoral necks from 44 donors. The methodology allows for increased interpretation of nanostructure in a statistically relevant dataset, revealing nanostructural differences in anatomical locations critical to clinical
Torne Tänzer +8 more
wiley +1 more source
3D conductive frameworks can maintain continuous electron transport, mechanical stability, and interfacial integrity, helping next‐generation batteries operate more efficiently. This Review examines their relevance to Si anodes, all‐solid‐state batteries, and dry‐processed electrodes, and highlights bio‐derived carbons as sustainable, structurally ...
SeoYoung Ha +5 more
wiley +1 more source
Nonparametric Beta kernel estimator for long memory time series [PDF]
The paper introduces a new nonparametric estimator of the spectral density that is given in smoothing the periodogram by the probability density of Beta random variable (Beta kernel).
VAN BELLEGEM, Sébastien +1 more
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