Results 261 to 270 of about 5,265,833 (340)

Cardiovascular risk prediction via ensemble machine learning and oversampling methods. [PDF]

Sci Rep
Reátegui R, Tandazo-Malla C, Suárez R, Ramírez-Cerna L.   +3 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Systematic Review of Advanced Algorithms for Brain Mapping in Stereotactic Neurosurgery: Integration of fMRI and EEG Data. [PDF]

Brain Sci
Redžepi S, Burazerović E, Redžepi S, Husović E, Pojskić M.   +4 more
europepmc   +1 more source

Recent Advancements in Bulk Processing of Rare‐Earth‐Free Hard Magnetic Materials and Related Multiscale Simulations

Advanced Engineering Materials, EarlyView.
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley   +1 more source

The application of intelligent optimization algorithms in reducing energy consumption in slipform construction. [PDF]

PLoS One
Wang W, Li L.
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Identifying unilateral aldosterone-producing adenomas using published algorithms and imaging: a systematic review and meta-analysis. [PDF]

Endocr Connect
Ng E, Gwini SM, Zheng W, Fuller PJ, Yang J.   +4 more
europepmc   +1 more source

Algorithming the Algorithm

, 2014
openaire   +1 more source

Robot‐Assisted Automated Serial‐Sectioning and Imaging for 3D Microstructural Investigations

Advanced Engineering Materials, EarlyView.
A fully automated 3D microstructure characterization platform provides new insights into materials. This robot‐assisted system performs serial‐sectioning, etching, and optical imaging to generate large‐volume 3D reconstructions with submicron resolution.
Michael Moschetti, Anton Lemiasheuski, Evgenia Bajer, Ilja Porohovoj, Artur Göbel, Anja Pfennig, Dirk Bettge, Robert Maaß   +7 more
wiley   +1 more source

The role of bioinformatics algorithms in modern biopharmaceutical design: Progress, challenges, and future perspectives. [PDF]

Bioimpacts
Pourseif MM, Baradaran Hosseini SA, Khoshraftar SH, Omidi Y.   +3 more
europepmc   +1 more source