Results 61 to 70 of about 834,250 (307)
Fast Spectral Clustering Using Autoencoders and Landmarks
In this paper, we introduce an algorithm for performing spectral clustering efficiently. Spectral clustering is a powerful clustering algorithm that suffers from high computational complexity, due to eigen decomposition.
A Choromanska+5 more
core +1 more source
Maillard Type Reaction for Electroless Copper Plating onto Ceramic Nanoparticles
This work presents the manufacturing of copper‐plated ceramic nanoparticles in an environmentally friendly way. Supported by organic functionalizations with pectin an electroless plating step can be performed. Sustainable reagents like xylose, and several amino acids are used for the reduction process.
Lukas Mielewczyk+8 more
wiley +1 more source
Decomposition of Matrix under Neutrosophic Environment [PDF]
Matrices help for the effective representation of systems of linear equations and analyzing any sort of data. The decomposition of any matrix allows for the efficient implementation of matrix-based algorithms.
Muhammad Kashif+3 more
doaj +1 more source
Exponential Multi-Modal Discriminant Feature Fusion for Small Sample Size
Multi-modal Canonical Correlation Analysis (MCCA) is an important information fusion method, and some discriminant variations of MCCA have been proposed.
Yanmin Zhu, Tianhao Peng, Shuzhi Su
doaj +1 more source
This study explores a process chain to produce dispersoid‐strengthened CuCr1Zr for applications requiring high strength and conductivity. Using gas‐atomized powder and copper‐plated alumina nanoparticles, additive manufacturing is performed via powder bed based additive manufacturing with green and red lasers, followed by heat treatment.
Heinrich von Lintel+7 more
wiley +1 more source
Based on the vectorised and cache optimised kernel, a parallel lower upper decomposition with a novel communication avoiding pivoting scheme is developed to solve dense complex matrix equations generated by the method of moments.
Yan Chen+4 more
doaj +1 more source
A New Method of Kronecker Product Decomposition
Kronecker product decomposition is often applied in various fields such as particle physics, signal processing, image processing, semidefinite programming, quantum computing, and matrix time series analysis.
Yi Wu
doaj +1 more source
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker+5 more
wiley +1 more source
Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker+5 more
wiley +1 more source
Machine learning algorithm for intelligent detection of WebShell
WebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To ...
Hua DAI,Jing LI,Xin-dai LU,Xin SUN
doaj +1 more source