Results 51 to 60 of about 184,733 (266)

Research on Kernel Extreme Learning Machine Algorithm for Key Node Identification in Aviation Network

open access: yesHangkong gongcheng jinzhan, 2021
Accurately identifying the key nodes of aviation network through technical means is of important theoretical significance and reference value for the normal operation of aviation network in peacetime and defense and repair in wartime.
NIU Junfeng   +3 more
doaj   +1 more source

New Reproducing Kernel Functions [PDF]

open access: yesMathematical Problems in Engineering, 2015
Some new reproducing kernel functions on time scales are presented. Reproducing kernel functions have not been found on time scales till now. These functions are very important on time scales and they will be very useful for researchers. We need these functions to solve dynamic equations on time scales with the reproducing kernel method.
openaire   +2 more sources

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

Creep‐Induced Microstructural Evolution in an A2‐B2 Superalloy

open access: yesAdvanced Engineering Materials, EarlyView.
A 27.3Ta‐27.3Mo‐27.3Ti‐8Cr‐10Al (at.%) refractory high‐entropy alloy with precipitation‐strengthened A2‐B2 microstructure was studied by creep tests at 1030°C, which demonstrate a transition in deformation mechanisms in the range of 100–150 MPa applied stress. This is associated with changes in dislocation–precipitate interactions. Relevant deformation
Liu Yang   +10 more
wiley   +1 more source

Widely Linear Kernels for Complex-valued Kernel Activation Functions [PDF]

open access: yesICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Accepted at ICASSP ...
Scardapane, S   +3 more
openaire   +2 more sources

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Logarithmic Kernel Relaxed Collaborative Representation With Scaled MST Dictionary Construction for Hyperspectral Anomaly Detection

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Representation-based anomaly detection methods are one of the most popular methods in hyperspectral anomaly detection. Nevertheless, linear models of have difficulties in adequately describing complex data and generating a decision boundary for anomaly ...
Yang Zhao   +4 more
doaj   +1 more source

The Robin Function and the Szegő Kernel Function

open access: yesJournal of Mathematical Analysis and Applications, 1995
The author expresses the Robin function in terms of the Szegö kernel function associated to a domain with a smooth boundary. As an application, the Robin function associated to an annulus is computed.
openaire   +1 more source

Kernels for products ofL-functions [PDF]

open access: yesAlgebra & Number Theory, 2013
27 pages. In version 3: a formula in section 7 is corrected and the theorem in section 2.3 is stated more clearly.
Diamantis, Nikolaos   +1 more
openaire   +4 more sources

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy