Results 101 to 110 of about 801,900 (223)

The Evolution of Artificial Intelligence in Medical Imaging: From Computer Science to Machine and Deep Learning

Michele Avanzo, Joseph Stancanello, G. Pirrone, Annalisa Drigo, Alessandra Retico   +4 more
openalex   +2 more sources

Seamless Science: Lifting Experimental Mechanical Testing Lab Data to an Interoperable Semantic Representation

Advanced Engineering Materials, EarlyView.
In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling, Sebastian Bruns, Bernd Bayerlein, Jehona Kryeziu, Jörg Schaarschmidt, Jörg Waitelonis, Pedro Dolabella Portella, Karsten Durst   +7 more
wiley   +1 more source

Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation

Advanced Engineering Materials, EarlyView.
An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch, Klaus Drechsler, Johannes Schilp   +2 more
wiley   +1 more source

Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development

Advanced Engineering Materials, EarlyView.
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

Combining Structured Data with Domain Knowledge in Battery Materials Research: The Case of Conductive Networks

Advanced Engineering Materials, EarlyView.
The combination of battery product and characterization ontology (BPCO) and domain knowledge guides hypotheses development and leads to new insights into material–property relationship of battery materials. The use of “intermediate data” is introduced as a concept, and examples are shown on its use to analyze the agglomeration of carbon black and its ...
Lisa Beran, Tobias Valentin Knapp, Albenc Nexha, Makara Lay, Bart‐Jan Niebuur, Tobias Kraus   +5 more
wiley   +1 more source

A machine learning computational approach for the mathematical anthrax disease system in animals. [PDF]

PLoS One
Sabir Z, Simbawa E.
europepmc   +1 more source

Adoption of Machine Learning Techniques to Perform Secondary Studies: A Systematic Mapping Study for the Computer Science Field

, 2019
Leonardo Cairo, Glauco de Figueiredo Carneiro, Bruno C. da Silva   +2 more
openalex   +1 more source

Advances in Hybrid Icing and Frosting Protection Strategies for Optics, Lens, and Photonics in Cold Environments Using Thin‐Film Acoustic Waves

Advanced Engineering Materials, EarlyView.
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong, Zhangbin Ji, Luke Haworth, Yihao Guo, Jaime del Moral, Stefan Jacob, Ana Borras, Agustin R. Gonzalez‐Elipe, Jikai Zhang, Jian Zhou, Glen McHale, Yong‐Qing Fu   +11 more
wiley   +1 more source

Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy. [PDF]

PLoS One
Mishra A, Jatt V, Sefene EM, Salunkhe S, Cep R, Abouel Nasr E.   +5 more
europepmc   +1 more source

StahlDigital: Ontology‐Based Workflows for the Steel Industry

Advanced Engineering Materials, EarlyView.
The strength of the steel industry is based on the mastery of microstructure–property relationships. Digital workflows contribute to this aim by making the complexity of workflows reproducible and their execution user independent. The tools and workflows developed in the project StahlDigital as part of the German MaterialDigital initiative are ...
Franz Roters, Ahmed Aslam, Yang Bai, Matthias Büschelberger, Kirill Bulert, Alexander Butz, Tilmann Hickel, Tushar Jogi, Silke Klitschke, Michael Martin, Lars‐Peter Meyer, Lukas Morand, Yoav Nahshon, Norman Radtke, Ujjal Saikia, Andreas Trondl, Alexander Wessel, Paul Zierep, Dirk Helm   +18 more
wiley   +1 more source