Results 91 to 100 of about 82,578 (301)

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

Advanced Engineering Materials, EarlyView.
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa, Aparna Saksena, Alesander Kostka, Pascal Thome, Felicitas Scholz, Alexandre Mussi, Christoph Somsen, Baptiste Gault, Jan Frenzel, Gunther Eggeler   +9 more
wiley   +1 more source

On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems [PDF]

, 2011
The combination of the synthetic minority oversampling technique (SMOTE) and the radial basis function (RBF) classifier is proposed to deal with classification for imbalanced two-class data.
Xia Hong, Hong, Xia, Harris, C. J., Ming Gao, Sheng Chen, Gao, Ming, Chris J. Harris, Chen, Sheng, Gao, M., Harris, Chris, Chen, S.   +10 more
core   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Performance Analysis of Abradable Coating Systems for Aircraft Gas Turbines

Advanced Engineering Materials, EarlyView.
Three CoNiCrAlY/YSZ/MgAl2O4 abradable liner configurations on a nickel‐superalloy are evaluated by thermal‐gradient cycling and incursion tests. Laser ablation of the bondcoat and/or Y2O3‐stabilized ZrO2 (YSZ) intermediate layer increases mechanical interlocking and bonding for thick topcoats.
Hanna Heyl, Daniel Emil Mack, Martin Tandler, Susanne Schrüfer, Robert Vaßen   +4 more
wiley   +1 more source

Least Squares Fitting of Chacón-Gielis Curves by the Particle Swarm Method of Optimization [PDF]

Ricardo Chacón generalized Johan Gielis's superformula by introducing elliptic functions in place of trigonometric functions. In this paper an attempt has been made to fit the Chacón-Gielis curves (modified by various functions) to simulated data by the ...
Mishra, SK
core   +1 more source

Particle swarm optimization for routing and wavelength assignment in next generation WDM networks. [PDF]

, 2010
PhDAll-optical Wave Division Multiplexed (WDM) networking is a promising technology for long-haul backbone and large metropolitan optical networks in order to meet the non-diminishing bandwidth demands of future applications and services.
Hassan, Ali
core  

Chaotic particle swarm optimization with mutation for classification

Journal of Medical Signals and Sensors, 2015
In this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classify patterns of different classes in the feature space.
Zahra Assarzadeh, Ahmad Reza Naghsh-Nilchi   +1 more
doaj  

The Design and Application of Quantum-Behaved Particle Swarm Optimization Based on Levy Flight

Chemical Engineering Transactions, 2016
Both Particle Swarm Optimization (PSO) and its improved version of Quantum-behaved Particle Swarm Optimization (QPSO) are the novel swarm intelligence optimization algorithms.
Y.Y. Liu
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source