Results 141 to 150 of about 1,231,487 (219)

A machine learning approach to conglomerate multi-domain features of cardiac aging. [PDF]

Eur Heart J Digit Health
Tan GHM, Yang E, Tan BZY, Naghshbandi H, Loh J, Zhong X, Liu J, Lim DJ, Gao F, Kovalik JP, Tan RS, Yeo SY, Koh AS.   +12 more
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

Predicting student academic performance using TabPFN and SHAP: An interpretable machine learning approach. [PDF]

PLoS One
Yin Q.
europepmc   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

CPP2Vec: A representation learning approach for cell-penetrating peptides prediction. [PDF]

PLoS Comput Biol
Svolou S, Konstantakos V, Krithara A, Paliouras G.   +3 more
europepmc   +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

Clustering and predicting VCA patient populations - a machine learning approach into vascularized composite allotransplantation. [PDF]

Front Immunol
Knoedler L, Niederegger T, Schaschinger T, Stahl C, Brandt J, Cetrulo CL, Heiland M, Hundeshagen G, Voss JO, Lellouch AG.   +9 more
europepmc   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Learn Then Decide: A Learning Approach for Designing Data Marketplaces. [PDF]

J Am Stat Assoc
Gao Y, Xu W, Zhou JJ, Zhou H, Chen Y, Dai X.   +5 more
europepmc   +1 more source