Results 161 to 170 of about 1,887,808 (391)

Semantic Orchestration and Exploitation of Material Data: A Dataspace Solution Demonstrated on Steel and Copper Applications

Advanced Engineering Materials, Volume 27, Issue 8, April 2025.
This article introduces the Dataspace Management System (DSMS), a methodological framework realized in software, designed as a technology stack to power dataspaces with a focus on advanced knowledge management in materials science and manufacturing. DSMS leverages heterogeneous data through semantic integration, linkage, and visualization, aligned with
Yoav Nahshon, Lukas Morand, Matthias Büschelberger, Dirk Helm, Kiran Kumaraswamy, Paul Zierep, Matthias Weber, Pablo de Andrés   +7 more
wiley   +1 more source

Support vector machine multiuser receiver for DS-CDMA signals in multipath channels [PDF]

, 2001
Sheng Chen, Ahmad Kamsani Samingan, Lajos Hanzo   +2 more
openalex   +1 more source

A Novel Approach to Produce Metal–Metal Composites by Leveraging Immiscibility: Laser Powder Bed Fusion of Nanosilver‐Dispersed Titanium

Advanced Engineering Materials, EarlyView.
Incorporating nanosized silver into titanium for antimicrobial materials exploits the metastable miscibility gap between silver and titanium. Silver nanoparticles are synthesized via pulsed laser ablation in liquid. Silver addition refines the microstructure, increases hardness by 30%, and reduces Staphylococcus capitis microbial adhesion by 70%, with ...
Hamed Shokri, Silja‐Katharina Rittinghaus, Janett Schmelzer, Jessica Bertrand, Bilal Gökce   +4 more
wiley   +1 more source

Security risk prediction technology for power monitoring system under the integration of OT and IT

International Journal for Simulation and Multidisciplinary Design Optimization
As an essential force for economic advancement and social stability, the security of the power system has always been a concern. Therefore, the security risks of power monitoring systems are a research focus.
Zhu Zhennan, Jin Jingquan
doaj   +1 more source

Application of Genetic Algorithm Based Support Vector Machine Model in Second Virial Coefficient Prediction of Pure Compounds [PDF]

Iranian Journal of Chemistry & Chemical Engineering, 2018
In this work, a Genetic Algorithm boosted Least Square Support Vector Machine model by a set of linear equations instead of a quadratic program, which is improved version of Support Vector Machine model, was used for estimation of 98 pure compounds ...
Mohammad Soleimani Lashkenar, Bahman Mehdizadeh, Kamyar Movagharnejad   +2 more
doaj  

Handwritten digit recognition by combining support vector machines using rule-based reasoning [PDF]

, 2001
D. Gorgevik, D. Cakmakov, Vladimir Radevski   +2 more
openalex   +1 more source

Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development

Advanced Engineering Materials, Volume 27, Issue 8, April 2025.
This work addresses the inefficiencies in traditional glass development by implementing an ontology‐based digital infrastructure coupled with a high‐throughput robotic melting system. The approach integrates machine learning models, predictive tools, and a semantic database.
Ya‐Fan Chen, Felix Arendt, Hansjörg Bornhöft, Andréa S. S. de Camargo, Joachim Deubener, Andreas Diegeler, Shravya Gogula, Altair T. Contreras Jaimes, Sebastian Kempf, Martin Kilo, René Limbach, Ralf Müller, Rick Niebergall, Zhiwen Pan, Frank Puppe, Stefan Reinsch, Gerhard Schottner, Simon Stier, Tina Waurischk, Lothar Wondraczek, Marek Sierka   +20 more
wiley   +1 more source

Karyotyping of comparative genomic hybridization human metaphases by using support vector machines [PDF]

, 2001
Zhenzhen Kou, Liang Ji, Xuegong Zhang
openalex   +1 more source

Laser Powder Bed Fusion of Pure Zinc Electrodes for the Manufacturing of Biodegradable Batteries: Process Development and Preliminary Electrochemical Testing

Advanced Engineering Materials, Volume 27, Issue 7, April 2025.
The additive manufacturing technology laser powder bed fusion enables the manufacturing of pure Zn thin walls as battery electrodes. Modification of the laser beam parameters allows to tailor the physical characteristics of the as‐deposited thin walls.
Leonardo Caprio, Gabriella Della Monica, Craig Andrew Milroy, Ali Gökhan Demir   +3 more
wiley   +1 more source

Predicting Bankruptcy with Support Vector Machines [PDF]

The purpose of this work is to introduce one of the most promising among recently developed statistical techniques – the support vector machine (SVM) – to corporate bankruptcy analysis.
Dorothea Schäfer, Rouslan A. Moro, Wolfgang Härdle   +2 more
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