Results 191 to 200 of about 812,194 (338)
Domain knowledge-assisted multi-objective evolutionary algorithm for channel selection in brain-computer interface systems. [PDF]
Liu T, Ye A.
europepmc +1 more source
Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand +7 more
wiley +1 more source
Arch-Eval benchmark for assessing chinese architectural domain knowledge in large language models. [PDF]
Wu J +5 more
europepmc +1 more source
Do Domain Knowledge and Retrieval Practice Predict Students' Study Order Decisions? [PDF]
Babineau AL +4 more
europepmc +1 more source
This study investigates laser metal deposition of aluminum alloys EN AW‐7075 and EN AW‐5083, using powder blending to compensate zinc and magnesium evaporation. In situ alloying and ex situ alloying with ZnAl12 and AZ91 preserve near‐standard compositions and improve mechanical properties.
Finn Bendixen +3 more
wiley +1 more source
Can Contemporary Large Language Models Provide the Domain Knowledge Needed for Causal Inference? Evaluating Automated Causal Graph Discovery Through an ASCVD Case Study. [PDF]
Aziz M, Brookhart MA.
europepmc +1 more source
Interpretable Skin Cancer Classification based on Incremental Domain Knowledge Learning. [PDF]
Rezk E, Eltorki M, El-Dakhakhni W.
europepmc +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Graph neural networks embedded with domain knowledge for cyber threat intelligence entity and relationship mining. [PDF]
Liu G, Lu K, Pi S.
europepmc +1 more source

