Results 61 to 70 of about 606,186 (241)

Detect anomalous quartic gauge couplings at muon colliders with quantum kernel k-means

European Physical Journal C: Particles and Fields
In recent years, with the increasing luminosities of colliders, handling the growing amount of data has become a major challenge for future New Physics (NP) phenomenological research.
Shuai Zhang, Ke-Xin Chen, Ji-Chong Yang
doaj   +1 more source

Fault diagnosis of wind turbine bearing based on stochastic subspace identification and multi-kernel support vector machine

Journal of Modern Power Systems and Clean Energy, 2018
In order to accurately identify a bearing fault on a wind turbine, a novel fault diagnosis method based on stochastic subspace identification (SSI) and multi-kernel support vector machine (MSVM) is proposed.
Hongshan ZHAO, Yufeng GAO, Huihai LIU, Lang LI   +3 more
doaj   +1 more source

Suita Conjecture for a Complex Torus

, 2014
The author proves that the generalized Suita conjecture holds for any complex torus, which means that $ \alpha\pi K \geq c^2(\alpha\in\mathbb R)$, $c$ being the modified logarithmic capacity and $K$ being the Bergman kernel on the diagonal.
Dong, Robert Xin
core   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Dimensionality Reduction and Clustering Strategies for Label Propagation in Partial Discharge Data Sets

Energies
Deep learning approaches have been successfully applied to perform automatic classification of phase-resolved partial discharge (PRPD) diagrams. Under the supervised learning paradigm, however, the performance of classifiers strongly depends on the ...
Ronaldo F. Zampolo, Frederico H. R. Lopes, Rodrigo M. S. de Oliveira, Martim F. Fernandes, Victor Dmitriev   +4 more
doaj   +1 more source

Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han, Julian M. Rosalie, Jan Radners, Mauro Madia, Philipp von Hartrott, Birgit Skrotzki   +5 more
wiley   +1 more source

On a more accurate half-discrete multidimensional Hilbert-type inequality involving one derivative function of m-order

Journal of Inequalities and Applications, 2023
By means of the weight functions, the idea of introduced parameters, using the transfer formula and Hermite–Hadamard’s inequality, a more accurate half-discrete multidimensional Hilbert-type inequality with the homogeneous kernel as 1 ( x + ∥ k − ξ ∥ α )
Yong Hong, Yanru Zhong, Bicheng Yang
doaj   +1 more source

A Kernel-based Approach to Diffusion Tensor and Fiber Clustering in the Human Skeletal Muscle [PDF]

, 2008
In this report, we present a kernel-based approach to the clustering of diffusion tensors in images of the human skeletal muscle. Based on the physical intuition of tensors as a means to represent the uncertainty of the position of water protons in the ...
Bassez, Guillaume, Deux, Jean-François, Fleury, Gilles, Langs, Georg, Maatouk, Mezri, Neji, Radhouène, Paragios, Nikolaos, Rahmouni, Alain, Thiran, Jean-Philippe   +8 more
core   +2 more sources

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

Improved large data spectral clustering algorithm based on sampling subspace constraint

Dianxin kexue, 2018
On the basis of analyzing the equivalent function of the objective function of classical spectral clustering algorithm and the weighted kernel k-means objective function,an improved large-scale data spectrum clustring algorithm based on sampling subspace
Ru NIE
doaj   +2 more sources